Добірка наукової літератури з теми "Sound analysi"
Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями
Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Sound analysi".
Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.
Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.
Статті в журналах з теми "Sound analysi"
1
MALINK, MARKO, and ANUBAV VASUDEVAN. "THE LOGIC OF LEIBNIZ’S GENERALES INQUISITIONES DE ANALYSI NOTIONUM ET VERITATUM." Review of Symbolic Logic 9, no. 4 (July 18, 2016): 686–751. http://dx.doi.org/10.1017/s1755020316000137.
Повний текст джерелаАнотація:
AbstractThe Generales Inquisitiones de Analysi Notionum et Veritatum is Leibniz’s most substantive work in the area of logic. Leibniz’s central aim in this treatise is to develop a symbolic calculus of terms that is capable of underwriting all valid modes of syllogistic and propositional reasoning. The present paper provides a systematic reconstruction of the calculus developed by Leibniz in the Generales Inquisitiones. We investigate the most significant logical features of this calculus and prove that it is both sound and complete with respect to a simple class of enriched Boolean algebras which we call auto-Boolean algebras. Moreover, we show that Leibniz’s calculus can reproduce all the laws of classical propositional logic, thus allowing Leibniz to achieve his goal of reducing propositional reasoning to algebraic reasoning about terms.
2
Vladimir, Nikola, Ivan Lončar, Ivica Aničić, and Ivo Senjanović. "Prediction of Noise Performance of Ro-Ro Passenger Ship by the Hybrid Statistical Energy Analysi." Journal of Maritime & Transportation Science 2, Special edition 2 (April 2018): 29–45. http://dx.doi.org/10.18048/2018.00.29.
Повний текст джерелаАнотація:
Noise prediction on board Ro-Ro passenger ship with a capacity of 145 cars and 600 passengers has been performed by means of the hybrid Statistical Energy Analysis (SEA). A general commercial noise analysis software Designer-NOISE is used. Basic issues related to noise on board ships are described, with particular emphasis to regulatory framework. An outline of the used software is presented together with ship technical data and noise source overview. Noise model is described in details and results are presented for selected compartments both without and with sound insulation. In addition to standard noise prediction output, a sensitivity analysis of noise levels with respect to some design parameters (wall thickness, insulation type and thickness, etc.) has been performed. Finally, conclusions on noise performance of a ship are drawn.
3
Leddington, Jason P. "Sounds fully simplified." Analysis 79, no. 4 (November 12, 2018): 621–29. http://dx.doi.org/10.1093/analys/any075.
Повний текст джерелаАнотація:
Abstract In ‘The Ockhamization of the event sources of sound’, Casati et al. (2013) argue that ‘ockhamizing’ Casey O’Callaghan’s account of sounds as proper parts of their event sources yields their preferred view: that sounds are identical with their event sources. This article argues that the considerations Casati et al. marshal in favour of their view are actually stronger considerations in favour of a quite different view: a variant on the Lockean conception of sounds as ‘sensible qualities’ that treats sounds as audible properties of their event sources.
4
ZHAO, Huanqi, Kean CHEN, Liang YAN, Bing ZHOU, Jiangong ZHANG, Jun ZHANG, Yunyun DENG, Han LI, and Hao LI. "Suppression and analysis on annoyance of motor vehicle noise using water sound injection." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 40, no. 3 (June 2022): 560–67. http://dx.doi.org/10.1051/jnwpu/20224030560.
Повний текст джерелаАнотація:
Different from the traditional noise control approaches based on sound energy reduction, this study focuses on the annoyance suppression of motor vehicle noise based on audio injection. Firstly, eight motor vehicle noises were selected as the target sounds and three different controllable sounds were used to overlap with different signal-to-noise ratios. Then absolute threshold and combined sound annoyance subjective evaluation experiment were carried out to obtain absolute threshold range and the existence zone of "destructive effect" for combined noise annoyance. Next the influencing factors of the destructive effect are analyzed. The results of the study found that the identifiability of the target sound and the controllable sound is important to the selection of the controllable sound. For most target sounds with high identifiability, the controllable sound with high identifiability and high SNR should be selected. For most target sounds with low identifiability, the controllable sound with low identifiability and low SNR should be selected. Moreover, after the addition of optimal controllable sound, the descend value of the annoyance degree of the target sound with high identifiability is lower than that of the target sound with low identifiability. The results will also provide guidance for the research on audio injection effects, physical mechanisms, the controllable sound selection and optimization design.
5
Yogatama, Adiprana. "Phonological Analysis of Indian Language." Register Journal 5, no. 1 (June 1, 2012): 1–16. http://dx.doi.org/10.18326/rgt.v5i1.1-16.
Повний текст джерелаАнотація:
The aims of this research are to find out the language sounds produced by India speakers, to enrich the scientific realm of language sounds and to stimulate the students to deeply examine other foreign language sounds. For the purpose of the study, the researcher collected data from several sources. The data which were in the form of theoretical research literature were obtained from books in general linguistics, especially on Phonology, both English and Indonesian. For data or material which were in the form of research material to be studied, the researcher presented a native speaker of Indian language named Kour Herbinder. This research is a qualitative research with recording and note technique. To analyze the data, the researcher used phonetics chart, both for cconsonants and vowels. From the analysis result, the researcher found that the sounds in India language are dominated by alveolar sounds like usually pronounced by speakers of Indonesian Balinese dialect. The researcher also found that there are many variations of Indian language sound as allophones, such as sound [k '] is an allophone of [k], and sound [dh] is an allophone of [d]. The pronunciation of sound [t], [d] and [k] dominantly resembles with [t], [d] and [k] on Indonesian Balinese.Keywords: phonetics ; phonemics ; alveolar ; allophone
6
Yogatama, Adiprana. "Phonological Analysis of Indian Language." Register Journal 5, no. 1 (June 1, 2012): 1. http://dx.doi.org/10.18326/rgt.v5i1.249.
Повний текст джерелаАнотація:
The aims of this research are to find out the language sounds produced by India speakers, to enrich the scientific realm of language sounds and to stimulate the students to deeply examine other foreign language sounds. For the purpose of the study, the researcher collected data from several sources. The data which were in the form of theoretical research literature were obtained from books in general linguistics, especially on Phonology, both English and Indonesian. For data or material which were in the form of research material to be studied, the researcher presented a native speaker of Indian language named Kour Herbinder. This research is a qualitative research with recording and note technique. To analyze the data, the researcher used phonetics chart, both for cconsonants and vowels. From the analysis result, the researcher found that the sounds in India language are dominated by alveolar sounds like usually pronounced by speakers of Indonesian Balinese dialect. The researcher also found that there are many variations of Indian language sound as allophones, such as sound [k '] is an allophone of [k], and sound [dh] is an allophone of [d]. The pronunciation of sound [t], [d] and [k] dominantly resembles with [t], [d] and [k] on Indonesian Balinese.Keywords: phonetics ; phonemics ; alveolar ; allophone
7
Tanigawa, Risako, Kohei Yatabe, and Yasuhiro Oikawa. "High-speed optical imaging and spatio-temporal analysis of sound sources of edge tone phenomena." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 3 (February 1, 2023): 4286–91. http://dx.doi.org/10.3397/in_2022_0613.
Повний текст джерелаАнотація:
Aerodynamic sounds are one of the noises of high-speed trains, automobiles, and wind turbines. To understand the characteristics of those noises, measuring sound sources is important. In general, microphones are used for measuring aerodynamic sounds. However, measuring the sound fields inside flow fields is difficult for microphones because they disturb flows. Thus, optical measurement methods have been applied to visualize aerodynamic sounds. The optical method can measure the sound fields without installing devices inside measurement fields. Therefore, it can capture the sound around sources. In this paper, we performed visualization and spatio-temporal analysis of sound sources of edge tones using parallel phase-shifting interferometry (PPSI). We experimentally confirmed the difference in pressure fluctuations near the sound source depending on the frequency of the edge tones.
8
Martinek, Jozef, P. Klco, M. Vrabec, T. Zatko, M. Tatar, and M. Javorka. "Cough Sound Analysis." Acta Medica Martiniana 13, Supplement-1 (March 1, 2013): 15–20. http://dx.doi.org/10.2478/acm-2013-0002.
Повний текст джерелаАнотація:
Abstract Cough is the most common symptom of many respiratory diseases. Currently, no standardized methods exist for objective monitoring of cough, which could be commercially available and clinically acceptable. Our aim is to develop an algorithm which will be capable, according to the sound events analysis, to perform objective ambulatory and automated monitoring of frequency of cough. Because speech is the most common sound in 24-hour recordings, the first step for developing this algorithm is to distinguish between cough sound and speech. For this purpose we obtained recordings from 20 healthy volunteers. All subjects performed continuous reading of the text from the book with voluntary coughs at the indicated instants. The obtained sounds were analyzed using by linear and non-linear analysis in the time and frequency domain. We used the classification tree for the distinction between cough sound and speech. The median sensitivity was 100% and the median specificity was 95%. In the next step we enlarged the analyzed sound events. Apart from cough sounds and speech the analyzed sounds were induced sneezing, voluntary throat and nasopharynx clearing, voluntary forced ventilation, laughing, voluntary snoring, eructation, nasal blowing and loud swallowing. The sound events were obtained from 32 healthy volunteers and for their analysis and classification we used the same algorithm as in previous study. The median sensitivity was 86% and median specificity was 91%. In the final step, we tested the effectiveness of our developed algorithm for distinction between cough and non-cough sounds produced during normal daily activities in patients suffering from respiratory diseases. Our study group consisted from 9 patients suffering from respiratory diseases. The recording time was 5 hours. The number of coughs counted by our algorithm was compared with manual cough counts done by two skilled co-workers. We have found that the number of cough analyzed by our algorithm and manual counting, as well, were disproportionately different. For that reason we have used another methods for the distinction of cough sound from non-cough sounds. We have compared the classification tree and artificial neural networks. Median sensitivity was increasing from 28% (classification tree) to 82% (artificial neural network), while the median specificity was not changed significantly. We have enlarged our characteristic parameters of the Mel frequency cepstral coefficients, the weighted Euclidean distance and the first and second derivative in time. Likewise the modification of classification algorithm is under our interest
9
Liu, Wu Chang, Hai Bin Wang, Jin Qun Liu, Yu Fang, and Zhu Qin Li. "A Heart Sound Acquisition and Analysis System." Advanced Materials Research 341-342 (September 2011): 504–8. http://dx.doi.org/10.4028/www.scientific.net/amr.341-342.504.
Повний текст джерелаАнотація:
This paper focuses on a heart sound acquisition and analysis system for in-home use of heart condition monitoring. The acquisition board is comprised of a transducer and the processing module, which is used to detect and send heart sound signal to PC via USB interface for heart sound analysis. The analysis software identifies normal and abnormal heart sounds, and provides an easy understanding graphical representation. Both normal and abnormal heart sounds are used to verify the validity of this system, and the result shows the system can discriminate normal and abnormal heart sounds. It is envisaged that the system can eventually be used for in-home use of heart condition monitoring that even inexperienced users are also able to monitor heart condition easily.
10
Hu, Qing Song, De Hui Chen, Wei Ding Wang, and Shou Yu Zhang. "Fish Sound Frequency Domain Analysis and Acoustic Spread Distance Experiment Research." Applied Mechanics and Materials 117-119 (October 2011): 716–20. http://dx.doi.org/10.4028/www.scientific.net/amm.117-119.716.
Повний текст джерелаАнотація:
Fish biological sounds reflect abundant information of its living state. It is important to systematically conduct research on the fish acoustic features. This paper designs program code based on Fast Fourier Transform (FFT) to deal with the sounds in frequency domain. By applying the program to analyze the sounds of piranha, oyster toadfish etc., the feature of main frequency is obtained and the sound features of different fishes are compared. This paper further designs the sound detection experiment about the acoustic spread distance; analyzes the sound decibel value varying trend according to the result. The different features among the fishes illustrate the sound difference. Acoustic spread detection experiment provides the fish behavior control feasible distance in the taming system design.
Дисертації з теми "Sound analysi"
1
DI, CROCE NICOLA. "Sonic acknowledgments. La territorialità delle politiche nella pratica dell'ascolto." Doctoral thesis, Università IUAV di Venezia, 2016. http://hdl.handle.net/11578/278716.
Повний текст джерелаАнотація:
The research aims at investigating the relationship between urban and regional planning, policy analysis and design, and Sound Studies. It seeks to acknowledge the urban and regional issues through the raise of sonic awareness, thus discussing the epistemology of specific urban “problems” and proposing an alternative research tools. The analytical approach is preliminary to policy design and to the empowerment of vulnerable communities. Listening becomes then a research device through which it is possible to explore those problematic issues that go unnoticed by the institutions.
The thesis is an invitation to read alternatively public policies, and to overcome the “problem solving” approach towards a sonic articulation of the “problem setting” approach. By investigating the sonic environment the research intends to show how knowledge is produced and used by policy makers. Thus sound and sonic environment turn to shape a new model of understanding full of potential although scarcely used by urban planning and policy design; therefore the sonic environment defines its deep political dimension. Within this framework the research will introduce and clarify the notion of soundscape, sonic environment, acoustic atmosphere, and will explore the set of cultural and political studies that are facing the perception, emotion and social behavior related to sound production and fruition.La ricerca si propone di indagare le possibili interazioni tra i campi della pianificazione territoriale, delle politiche pubbliche, e dei Sound Studies. L’obiettivo è esplicitare le connessioni tra ambiente sonoro e questioni urbane e territoriali attraverso la pratica dell’ascolto; tematizzare dunque le modalità di produzione di conoscenza per affrontare l’inquadramento di particolari “problemi” e l’elaborazione di possibili approcci alternativi di ricerca. Se l’attitudine è sicuramente progettuale, lo scopo dichiarato è analitico, propedeutico all’azione: al disegno di politiche come all’empowerment di comunità. L’ascolto assume quindi le caratteristiche di uno strumento di ricerca; se ne vogliono delineare le potenzialità, esplorare le tracce attraverso cui approcciare le questioni urbane e territoriali che pur “facendo problema” sembrano passare spesso “inosservate”, soprattutto su un piano istituzionale. Si è invitati a seguire un percorso inedito di lettura delle politiche pubbliche, che rimanda al superamento del problem solving e procede verso un’articolazione sonora del problem setting. Attraverso la lettura dell’ambiente sonoro si vuole infatti esplicitare i termini su cui si articola la produzione di conoscenza a supporto dell’azione; conoscenza che costituisce un aiuto essenziale per il processo decisionale, dunque per il disegno di politiche. Il suono, e l’ambiente acustico, intervengono come messaggeri di un modello interpretativo finora troppo poco praticato dalla pianificazione e dal policy design. Se il suono è il centro della ricerca, il suo potenziale evocativo e rappresentativo si esplicita e riverbera nella dimensione politica. Sono allora da introdurre e chiarire i cardini del discorso: definire il paesaggio sonoro, l’ambiente acustico, ed esplorare gli studi culturali che ne stanno decodificando i segnali, dunque il quadro percettivo consapevole e inconsapevole cui l’ascolto fa costantemente riferimento.
2
Liao, Wei-Hsiang. "Modelling and transformation of sound textures and environmental sounds." Thesis, Paris 6, 2015. http://www.theses.fr/2015PA066725/document.
Повний текст джерелаАнотація:
Le traitement et la synthèse des sons environnementaux sont devenue un sujet important. Une classe des sons, qui est très important pour la constitution d'environnements sonore, est la classe des textures sonores. Les textures sonores sont décrit par des relations stochastiques et qui contient des composantes non-sinusoïdales à caractère fortement bruité. Il a été montré récemment que la reconnaissance de textures sonores est basée sur des mesures statistiques caractérisant les enveloppes dans les bandes critiques. Il y actuellement très peu d'algorithmes qui permettent à imposer des propriétés statistiques de façon explicite lors de la synthèse de sons. L'algorithme qui impose l'ensemble de statistique qui est perceptivement relevant pour les textures sonore est très couteuse en temps de calcul. Nous proposons une nouvelle approche d'analyse-synthèse qui permet une analyse des statistiques relevant et un mécanisme efficace d'imposer ces statistiques dans le domaine temps-fréquence. La représentation temps-fréquence étudié dans cette thèse est la transformée de Fourier à court terme. Les méthodes proposées par contre sont plus générale et peuvent être généralisé à d'autres représentations temps-fréquence reposant sur des banques de filtres si certaines contraintes sont respectées. L'algorithme proposé dans cette thèse ouvre plusieurs perspectives. Il pourrait être utilisé pour générer des textures sonores à partir d'une description statistique créée artificiellement. Il pourrait servir de base pour des transformations avancées comme le morphing, et on pourrait aussi imaginer à utiliser le modèle pour développer un contrôle sémantique de textures sonoresThe processing of environmental sounds has become an important topic in various areas. Environmental sounds are mostly constituted of a kind of sounds called sound textures. Sound textures are usually non-sinusoidal, noisy and stochastic. Several researches have stated that human recognizes sound textures with statistics that characterizing the envelopes of auditory critical bands. Existing synthesis algorithms can impose some statistical properties to a certain extent, but most of them are computational intensive. We propose a new analysis-synthesis framework that contains a statistical description that consists of perceptually important statistics and an efficient mechanism to adapt statistics in the time-frequency domain. The quality of resynthesised sound is at least as good as state-of-the-art but more efficient in terms of computation time. The statistic description is based on the STFT. If certain conditions are met, it can also adapt to other filter bank based time-frequency representations (TFR). The adaptation of statistics is achieved by using the connection between the statistics on TFR and the spectra of time-frequency domain coefficients. It is possible to adapt only a part of cross-correlation functions. This allows the synthesis process to focus on important statistics and ignore the irrelevant parts, which provides extra flexibility. The proposed algorithm has several perspectives. It could possibly be used to generate unseen sound textures from artificially created statistical descriptions. It could also serve as a basis for transformations like stretching or morphing. One could also expect to use the model to explore semantic control of sound textures
3
Chatterley, James J. "Sound Quality Analysis of Sewing Machines." BYU ScholarsArchive, 2005. https://scholarsarchive.byu.edu/etd/424.
Повний текст джерелаАнотація:
Sound quality analysis is a tool designed to help determine customer preferences, which can be used to help the designer improve product quality. Many industries desire to know how the consuming public perceives their product, as this affects the product life and success. This research investigates which of the six sewing machines provided by Viking Sewing Machine Group (VSM group) consumers find most acoustically appealing. The sound quality analysis methods used include both jury based listening tests and quantitative sound quality metrics from empirical equations. The results from both methods are completely independent and are shown to have a very strong correlation. The procedures and results of both methods, jury listening tests and mathematical metrics, are presented. Near field sound intensity scans identified acoustic hot spots and give direction for possible design modifications to improve the acoustic signature of the two top tier machines, the Designer 1 and Creative 2144 (Husqvarna Viking and Pfaff respectively). This research determined that the entry level Pfaff Select 1530 has the most acoustically appealing sound of the six machines evaluated. In addition, it was also determined that a reduction in the higher frequency sounds produced by the machines is preferred over a reduction in the lower frequency sounds. Further investigations, including an evaluation of machine isolation and startup sounds, were also performed. The machine isolation results are highly dependant on the individual machine being evaluated and would require independent evaluation. In the machine startup sound assessment, it was discovered that again the Pfaff Select 1530 has the preferred sound. Near field acoustic intensity scans provide additional information on locations of strong acoustic radiation. The near field scans provided valuable design information. The acoustic "hot" spots were discovered to exist in the lower portions of the machines near the main stepper motor in the Designer 1, and radiating from the bottom plate of the machine in the Pfaff Creative 2144. This analysis has led to various design modifications that could be implemented to improve the sound quality of the machines, specifically the Designer 1 and the Creative 2144.
4
TERENZI, Alessandro. "Innovative Digital Signal Processing Methodologies for Identification and Analysis of Real Audio Systems." Doctoral thesis, Università Politecnica delle Marche, 2021. http://hdl.handle.net/11566/287822.
Повний текст джерелаАнотація:
Esistono molti sistemi audio reali e ciascuno ha le proprie caratteristiche ma tutti sono accomunati dal fatto che sono sistemi in grado di generare o modificare un suono. Se un sistema naturale o artificiale può essere definito come sistema sonoro, allora è possibile applicare le tecniche del digital signal processing per studiare il sistema ed emularne il comportamento. In questo lavoro di tesi si propone di introdurre delle metodologie innovative di processamento del segnale applicate ad alcuni sistemi sonori reali.
In particolare, vengono studiati e discussi tre diversi sistemi: il mondo dei dispositivi non lineari basati su valvole, con particolare attenzione agli amplificatori per chitarra e hi-fi, l'ambiente acustico di una stanza ed il suo effetto sulla propagazione del suono ed infine il suono emesso dalle api in un alveare.
Per quanto riguarda il primo sistema, vengono proposti dei contributi innovativi per l'identificazione di modelli come la serie di Volterra ed il modello di Hammerstein; in particolare viene discusso un approccio per superare alcune limitazioni dell'identificazione tramite serie di Volterra e l'applicazione di una struttura in sottobande per ridurre il costo computazionale e incrementare la velocità di convergenza di un algoritmo adattativo per l'identificazione del modello di Hammerstein. In ultima analisi, viene proposto un approccio innovativo in grado di stimare con una singola misura vari parametri di distorsione sfruttando un modello di Hammerstein generallizato.
Per quanto riguarda il secondo ambito, vengono proposti i risultati relativi a due applicazioni di equalizzazione multipunto: nel primo caso si mostrerà come l'equalizzazione può essere usata non solo per compensare le anomalie sonore generate all'interno di una stanza, ma anche per migliorare la risposta in frequenza di particolari trasduttori a vibrazione ancorati ad un pannello rigido; nel secondo caso si illustra come un approccio in sottobande può migliorare l'efficienza computazionale e la velocità di un algoritmo di equalizzazione adattativo multipunto e multicanale.
Infine, viene presentato un sistema sonoro naturale, ovvero quello generato da un alveare. In questo caso si illustrerà un sistema di acquisizione innovativo sviluppato per monitorare gli alveari con particolare attenzione al suono; succesivamente si mostrano gli approcci messi a punto per analizzare il suono registrato in due condizioni reali ed infine verranno si illustrano i risultati ottenuti grazie allo studio del suono usando algoritmi di classificazione.
Inoltre, nella parte finale dell'elaborato sono presenti dei contributi secondari ma che hanno comunque come focus principale il signal processing applicato ad ambienti acustici reali, in particolare si discute di un'implementazione di un algoritmo di cancellazione attiva del rumore e di due algoritmi per effetti digitali in cui il primo migliora le performance sonore di altoparlanti compatti, ed il secondo genera un effetto stereofonico per chitarra elettrica.Many real word audio systems exist, each has its own characteristics but almost all of them can be identified from the fact that they are able to generate or modify a sound. If a natural or artificial system can be defined as a sound system, then it is possible to apply the techniques of digital signal processing for the studying and the emulation of the system. In this thesis, innovative methodologies for digital signal processing applied to real audio systems will be discussed. In particular, three different audio systems will be considered: the world of vacuum-based non linear audio devices with particular attention to guitar and hi-fi amplifiers; the room acoustic environment and its effect on the sound propagation; and finally the sound emitted by honey bees in a beehive. Regarding the first system, innovative approaches for the identification of the Volterra series and Hammerstein models will be proposed, in particular an approach to overcome some limitation of Volterra series identification. The application of a sub-band structure to reduce the computational cost and increase the convergence speed of an adaptive Hammerstein model identification will be proposed as well. Finally, an innovative approach for the measurement of several distortion parameters using a single measure, exploiting a generalized Hammerstein model, will be presented. For the second system, the results of the application of a multi-point equalizer to two different situations will be exposed. In particular, in the first case, it will be shown how a multi-point equalization can be used not only to compensate the acoustical anomalies of a room, but also to improve the frequency response of vibrating transducers mounted on a rigid surface. The second contribution will show how a sub-band approach can be used to improve the computational cost and the speed of an adaptive algorithm for a multi-point and multi channel equalizer. At the end, the focus will be on a natural sound system, i.e., a honey bees colony. In this case, an innovative acquisition system for honey bees sound monitoring will be presented. Then, the approaches developed for sound analysis will be exposed and applied to the recorded sounds in two different situations. Finally, the obtained results, achieved with the application of classification algorithms, will be exposed. In the final part of the work some minor contributions still related to signal processing applied to real sound systems are presented. In particular, an implementation of an active noise control system is discussed, and two algorithms for digital effects where the former improves the sound performances of compact loudspeakers and the latter generates a stereophonic effect for electric guitars are exposed.
5
Satakopan, Hariram. "Time-Frequency Feature Extraction for Impact Sound Quality Analysis with Emphasis on Automobile Applications." University of Cincinnati / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1299168649.
Повний текст джерела
6
Lee, JungSuk. "Categorization and modeling of sound sources for sound analysis/synthesis." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=116954.
Повний текст джерелаАнотація:
In this thesis, various sound analysis/re-synthesis schemes are investigated in a source/filter model framework, with emphasis on the source component. This research provides improved methods and tools for sound designers, composersand musicians to flexibly analyze and synthesize sounds used for gaming, film or computer music, ranging from abstract, complex sounds to those of real musical instruments. First, an analysis-synthesis scheme for the reproduction of a rolling ball sound is presented. The proposed scheme is based on the assumption that the rolling sound is generated by a concatenation of micro-contacts between a ball and a surface, each having associated resonances. Contact timing information is extracted from the rolling sound using an onset detection process, allowing for segmentation of a rolling sound. Segmented sound snippets are presumed to correspond to micro-contacts between a ball and a surface; thus, subband based linear predictions (LP) are performed to model time-varying resonances and anti-resonances. The segments are then resynthesized and overlap-added to form a complete rolling sound. A "granular" analysis/synthesis approach is also applied to various kinds of environmental sounds (rain, fireworks, walking, clapping) as an additional investigation into how the source type influences the strategic choices for the analysis/synthesis of sounds. The proposed granular analysis/synthesis system allows for flexible analysis of complex sounds and re-synthesis with temporal modification. Lastly, a novel approach to extract a pluck excitation from a recorded plucked string sound is proposed within a source / filter context using physical models. A time domain windowing method and an inverse filtering-based method are devised based on the behavior of wave propagation on the string. In addition, a parametric model of the pluck excitation as well as a method to estimate its parameters are addressed.Dans cette thèse, nous avons étudié plusieurs scéhmas d'analyse/synthèse dans le cadre des modèles source/filtre, avec un attention particulière portée sur la composante de source. Cette recherche améliore les méthodes ainsi que les outils fournis créateurs de sons, compositeurs et musiciens désirant analyser et synthétiser avec flexibilité des sons destinés aux jeux vidéos, au cinéma ou à la musique par ordinateur. Ces sons peuvent aller de sons abstraits et complexes à ceux provenant d'instruments de musique existants. En premier lieu, un schéma d'analyse-synthèse est introduit permettant la reproduction du son d'une balle en train de rouler. Ce schéma est fondé sur l'hypothèse que le son de ce roulement est généré par la concaténation de micro-contacts entre balle et surface, chacune d'elles possédant sa proper série de résonances. L'information relative aux temps de contact est extradite du son du roulement que l'on cherche à reproduire au moyen d'une procédure détectant le début du son afin de le segmenter. Les segments de son ainsi isolés sont supposés correspondre aux micro-contacts entre la balle et la surface. Ainsi un algorithme de prédiction linéaire est effectué par sous-bande, préalablement extraites afin de modéliser des résonances et des anti-résonances variants dans le temps. Les segments sont ensuite re-synthétisés, superposés et additionnés pour reproduire le son du roulement dans son entier. Cette approche d'analyse/synthèse "granulaire" est également appliquée à plusieurs sons de types environnementaux (pluie, feux d'artifice, marche, claquement) afin d'explorer plus avant l'influence du type de la source sur l'analyse/synthèse des sons. Le système proposé permet une analyse flexible de sons complexes et leur synthèse, avec la possibilité d'ajouter des modifications temporelles.Enfin, une approche novatrice pour extraire le signal d'excitation d'un son de corde pincée est présentée dans le contexte de schémas source/filtre sur une modèlisation physique. A cet effet, nous introduisons une méthode de type fenêtrage, et une méthode de filtrage inverse fondée sur le type de propagation selon laquelle l'onde se déplace le long de la corde. De plus, un modèle paramétrique de l'excitation par pincement ainsi qu'une méthode d'estimation de ces paramètres sont détaillés.
7
Price, M. A. "Sound propagation in woodland." Thesis, Open University, 1986. http://oro.open.ac.uk/56924/.
Повний текст джерелаАнотація:
A review of past research into sound propagation in woodland is presented. The attenuation of sound in woodland is small between about 800 and 2000Hz and greater at low and high frequencies. Attenuation measurements made in three contrasting woodlands are presented and compared with theoretical models. Propagation models using simple one- and two-parameter impedance models are used to calculate appropriate ground parameters for the prediction of impedance of the woodland soils. The ground parameters varied on different days in a single stand due to differences in moisture content and compaction. The overall differences between the stands are not significant. The woodland soil has a considerably lower impedance than other outdoor ground surfaces such as grassland or sand. A theoretical model for the attenuation of sound by thermoviscous absorption and scattering within an array of cylinders is assessed by means of a model experiment with wooden rods in an anechoic chamber. An input density 60% lower than the actual density gives a good agreement with measured attenuation. This modified model also predicts the attenuation by the cylinders in the presence of a ground surface. The scattering model is compared with the high frequency attenuation measured in the , woodland, using sampled trunk densities and radius, this underpredicts the observed attenuation, particularly in the stands with a dense branch and foliage structure. Addition of a second. dense, array of non rigid scatterers gives a good agreement with the measured data, thus modelling the scattering and absorbing effects of trunks, branches and leaves, in the high frequencies. Finally, a combined model is presented in which the attenuation caused by ground interference effects. at low frequencies. is added to a prediction of attenuation by the scattering model. across the whole frequency range. This model reproduces the frequency dependence of the attenuation of sound in woodland.
8
Derton, Riccardo. "Door closing sound quality related to door sealing stiffness." Thesis, KTH, Marcus Wallenberg Laboratoriet MWL, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302275.
Повний текст джерелаАнотація:
The door closing action is a recurrent situation when using a vehicle, and its sound is therefore a common sensation, which would elicit pleasant feelings. Sensory pleasantness is an important aspect in terms of customer’s perspective, and it can be a contributing factor when deciding to buy or not a specific vehicle. The first contact between a prospective customer and the automobile usually happens in car salons or at the car retailer. The initial impression of the vehicle might be sight-based, and the door may commonly be the first physical contact. Depending on the car brand and type, doors differ in terms of mass, structure, dimension. Furthermore, there are differences regarding the latching system and the door sealing structure, in terms of material and construction. The closing sound produced when slamming the door is related to all these parameters. Auditory pleasantness can be described by characteristics of the sound that are described through psychoacoustics. Loudness, sharpness, roughness, and tonality are important auditory parameters to objectively describe this complex sensation. The aim of car doors would be to generate an enthusiastic, low-pitched, and saturated sound, which would elicit feelings of solidity, robustness, and security. On the other side, a metallic, high-pitched, fragmented sound could be a source of annoyance and produce feelings of insecurity and cheap vehicle.The present work aims to provide a broad picture on the mechanics and acoustics of door closing for automobiles. In specific, the closing sound was evaluated in relation to the door gaskets and their sealing performance over time. The sealing performance was analyzed in energy and force terms. The door closing motion was studied as a quasi-static problem, as well as a dynamic problem, where the former is related to the latching capability of the door, the latter is connected to the slamming action. The measurement results include the sealing performance trend from fresh to aged gaskets. From these measurements, the rubber non-linear behaviour could then be evaluated from a sound quality perspective. The acoustic analysis revealed inconsistencies of the psychoacoustic parameters in the description of the hearing sensations. Spectral analysis was also implemented to capture the door closing phenomenon, and the Wavelet transform emerged as the method with the highest resolution in the description of the sound wave progression.Several measurements were performed in order to assess all the established points, and methods were implemented for the sealing stiffness analysis and the acoustic analysis. The severe transiency of the door closing event was put in evidence. The stiffness analysis method showed also potential in helping to adjust the end of line tuning of the vehicle. Finally, benchmarking was included in the project, which enabled comparisons with competitor cars.Dörrstängning är en återkommande händelse när ett fordon används, och ljudet bör därför ge ett positivt intryck och korrekt information till brukaren. Ett behagligt intryck är en viktig aspekt ur kundens perspektiv och kan vara ett var flera bidragande faktorer när beslut tas om att köpa eller inte köpa ett fordon. Den första kontakten mellan en potentiell kund och bilen sker vanligtvis i bilsalonger eller hos bilhandlare. Det första intrycket av fordonet kan vara visuellt, och dörren är ofta den första fysiska kontakten. Beroende på biltyp och fabrikat skiljer sig dörrarna åt när det kommer till massa, struktur och dimensioner. Dessutom kan det finnas skillnader i låssystem och dörrtätningskonstruktion såsom i både material och utformning. Stängningsljudet som uppstår när dörren slås igen är relaterat till alla dessa parametrar. Ett ljuds upplevda behaglighet i det beror på ljudets egenskaper, som beskrivs med hjälp av psykoakustik. Ljudstyrka, skärpa, råhet och tonalitet är viktiga auditiva parametrar för att objektivt beskriva detta komplexa intryck. Målet med bildörrar bör vara att generera ett dovt och mättat ljud, för att framkalla känslor av soliditet, robusthet och säkerhet. Å andra sidan kan, ett metalliskt, högfrekvent och skramligt ljud vara en källa till irritation och ge känslor av osäkerhet och låg kvalité.Syftet med detta arbete är att ge en övergripande beskrivning av dörrstängning och akustiken kring detta. I synnerhet utvärderades stängningsljudet i förhållande till dörrpackningarna och deras tätningsprestanda mätt över tiden. Tätningsprestanda analyserades i energi- och krafttermer. Dörrens stängningsrörelse studerades både som ett kvasistatiskt problem och som ett dynamiskt problem. Det förstnämnda är relaterat till dörrens låsningsförmåga, medan det sistnämnda är kopplat till smällar i dörren. Mätresultaten visade hur tätningsprestandan förändras över tiden. Gummits icke-linjära beteende har också utvärderats med ett ljudkvalitetsperspektiv. En spektralanalys genomfördes av ljudet från dörrstängningar och Wavelet-transformen visade sig vara den lösning som gav bäst kvalitet. Flera mätningar utfördes för att bedöma alla fastställda punkter och metoder infördes för analysen av tätningens styvhet och för den akustiska analysen. Den kraftiga transiensen i dörrstängningen kunde ses i resultaten. Styvhetsanalysen visade även hur den utvecklade metoden skulle kunna bidra till att justera fordonets end-of-line inställningar. Slutligen ingick benchmarking i projektet vilket möjliggjorde jämförelser med konkurrentbilar.
9
Servis, Dimitris C. "Sound transmission at pipe joints." Thesis, Heriot-Watt University, 1991. http://hdl.handle.net/10399/782.
Повний текст джерела
10
Song, Guanghan. "Effect of sound in videos on gaze : contribution to audio-visual saliency modelling." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENT013/document.
Повний текст джерелаАнотація:
Les humains reçoivent grande quantité d'informations de l'environnement avec vue et l'ouïe . Pour nous aider à réagir rapidement et correctement, il existe des mécanismes dans le cerveau à l'attention de polarisation vers des régions particulières , à savoir les régions saillants . Ce biais attentionnel n'est pas seulement influencée par la vision , mais aussi influencée par l'interaction audio - visuelle . Selon la littérature existante , l'attention visuelle peut être étudié à mouvements oculaires , mais l'effet sonore sur le mouvement des yeux dans les vidéos est peu connue . L'objectif de cette thèse est d'étudier l'influence du son dans les vidéos sur le mouvement des yeux et de proposer un modèle de saillance audio - visuel pour prédire les régions saillants dans les vidéos avec plus de précision . A cet effet, nous avons conçu une première expérience audio - visuelle de poursuite oculaire . Nous avons créé une base de données d'extraits vidéo courts choisis dans divers films . Ces extraits ont été consultés par les participants , soit avec leur bande originale (condition AV ) , ou sans bande sonore ( état V) . Nous avons analysé la différence de positions de l'oeil entre les participants des conditions de AV et V . Les résultats montrent qu'il n'existe un effet du bruit sur le mouvement des yeux et l'effet est plus important pour la classe de la parole à l'écran . Ensuite , nous avons conçu une deuxième expérience audiovisuelle avec treize classes de sons. En comparant la différence de positions de l'oeil entre les participants des conditions de AV et V , nous concluons que l'effet du son est différente selon le type de son , et les classes avec la voix humaine ( c'est à dire les classes parole , chanteur , bruit humain et chanteurs ) ont le plus grand effet . Plus précisément , la source sonore a attiré considérablement la position des yeux uniquement lorsque le son a été la voix humaine . En outre , les participants atteints de la maladie de AV avaient une durée moyenne plus courte de fixation que de l'état de V . Enfin , nous avons proposé un modèle de saillance audio- visuel préliminaire sur la base des résultats des expériences ci-dessus . Dans ce modèle , deux stratégies de fusion de l'information audio et visuelle ont été décrits: l'un pour la classe de son discours , et l'autre pour la musique classe de son instrument . Les stratégies de fusion audio - visuelle définies dans le modèle améliore la prévisibilité à la condition AVHumans receive large quantity of information from the environment with sight and hearing. To help us to react rapidly and properly, there exist mechanisms in the brain to bias attention towards particular regions, namely the salient regions. This attentional bias is not only influenced by vision, but also influenced by audio-visual interaction. According to existing literature, the visual attention can be studied towards eye movements, however the sound effect on eye movement in videos is little known. The aim of this thesis is to investigate the influence of sound in videos on eye movement and to propose an audio-visual saliency model to predict salient regions in videos more accurately. For this purpose, we designed a first audio-visual experiment of eye tracking. We created a database of short video excerpts selected from various films. These excerpts were viewed by participants either with their original soundtrack (AV condition), or without soundtrack (V condition). We analyzed the difference of eye positions between participants with AV and V conditions. The results show that there does exist an effect of sound on eye movement and the effect is greater for the on-screen speech class. Then, we designed a second audio-visual experiment with thirteen classes of sound. Through comparing the difference of eye positions between participants with AV and V conditions, we conclude that the effect of sound is different depending on the type of sound, and the classes with human voice (i.e. speech, singer, human noise and singers classes) have the greatest effect. More precisely, sound source significantly attracted eye position only when the sound was human voice. Moreover, participants with AV condition had a shorter average duration of fixation than with V condition. Finally, we proposed a preliminary audio-visual saliency model based on the findings of the above experiments. In this model, two fusion strategies of audio and visual information were described: one for speech sound class, and one for musical instrument sound class. The audio-visual fusion strategies defined in the model improves its predictability with AV condition
Книги з теми "Sound analysi"
1
Beauchamp, James W. Analysis, synthesis, and perception of musical sounds: The sound of music. New York: Springer, 2010.
Знайти повний текст джерела
2
Tohyama, M. Waveform analysis of sound. Tokyo: Springer, 2015.
Знайти повний текст джерела
3
Tohyama, Mikio. Waveform Analysis of Sound. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-54424-1.
Повний текст джерела
4
Foreman, John E. K. Sound Analysis and Noise Control. Boston, MA: Springer US, 1991.
Знайти повний текст джерела
5
Foreman, John E. K. Sound Analysis and Noise Control. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4684-6677-5.
Повний текст джерела
6
Sound analysis and noise control. New York: Van Nostrand Reinhold, 1990.
Знайти повний текст джерела
7
Ivey, Donald. Sound pleasure: A prelude to active listening. 2nd ed. New York: Schirmer Books, 1985.
Знайти повний текст джерела
8
Henrichsen, Peter Juel. Linguistic theory and raw sound. Frederiksberg: Samfundslitteratur, 2009.
Знайти повний текст джерела
9
Sueur, Jérôme. Sound Analysis and Synthesis with R. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77647-7.
Повний текст джерела
10
Chuang, Ming-Fei. Interactive tools for sound signal analysis. Monterey, Calif: Naval Postgraduate School, 1997.
Знайти повний текст джерелаЧастини книг з теми "Sound analysi"
1
Osborn, Brad. "Sound Analysis." In Interpreting Music Video, 31–48. New York: Routledge, 2021.: Routledge, 2021. http://dx.doi.org/10.4324/9781003037576-4.
Повний текст джерела
2
Hardman, Kristi. "The continua of sound qualities for Tanya Tagaq's katajjaq sounds." In Trends in World Music Analysis, 85–99. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003033080-6.
Повний текст джерела
3
Foreman, John E. K. "Sound Fields." In Sound Analysis and Noise Control, 81–109. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-6677-5_4.
Повний текст джерела
4
Sabil, AbdelKebir, and Sandrine Launois. "Tracheal Sound Analysis." In Advances in the Diagnosis and Treatment of Sleep Apnea, 265–80. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06413-5_16.
Повний текст джерела
5
Pavan, Gianni, Gregory Budney, Holger Klinck, Hervé Glotin, Dena J. Clink, and Jeanette A. Thomas. "History of Sound Recording and Analysis Equipment." In Exploring Animal Behavior Through Sound: Volume 1, 1–36. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-97540-1_1.
Повний текст джерелаАнотація:
AbstractOver the last 100 years, there has been an explosion of research in the field of animal bioacoustics. These changes have been facilitated by technological advances, decrease in size and cost of recording equipment, increased battery life and data storage capabilities, the transition from analog-to-digital recorders, and the development of sound analysis software. Acousticians can now study the airborne and underwater sounds from vocal species across the globe at temporal and spatial scales that were not previously feasible and often in the absence of human observers. Many advances in the field of bioacoustics were enabled by equipment initially developed for the military, professional musicians, and radio, TV, and film industries. This chapter reviews the history of the development of sound recorders, transducers (i.e., microphones and hydrophones), and signal processing hardware and software used in animal bioacoustics research. Microphones and hydrophones can be used as a single sensor or as an array of elements facilitating the localization of sound sources. Analog recorders, which relied on magnetic tape, have been replaced with digital recorders; acoustic data was initially stored on tapes, but is now stored on optical discs, hard drives, and/or solid-state memories. Recently, tablets and smartphones have become popular recording and analysis devices. With these advances, it has never been easier, or more cost-efficient, to study the sounds of the world.
6
Foreman, John E. K. "Basics of Sound." In Sound Analysis and Noise Control, 1–15. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4684-6677-5_1.
Повний текст джерела
7
Xie, Bosun. "Basic principles and analysis of multichannel surround sound." In Spatial Sound, 125–46. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003081500-3.
Повний текст джерела
8
Sueur, Jérôme. "What Is Sound?" In Sound Analysis and Synthesis with R, 7–36. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77647-7_2.
Повний текст джерела
9
Sueur, Jérôme. "Playing with Sound." In Sound Analysis and Synthesis with R, 81–110. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77647-7_4.
Повний текст джерела
10
Xie, Bosun. "Physical analysis of multichannel sound field recording and reconstruction." In Spatial Sound, 349–437. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003081500-9.
Повний текст джерелаТези доповідей конференцій з теми "Sound analysi"
1
Paul, V. S., and P. A. Nelson. "MATRIX ANALYSIS OF NEURAL NETWORK ARCHITECTURES FOR AUDIO SIGNAL CLASSIFICATION." In REPRODUCED SOUND 2020. Institute of Acoustics, 2020. http://dx.doi.org/10.25144/13374.
Повний текст джерела
2
Paul, V. S., and P. A. Nelson. "MATRIX ANALYSIS OF NEURAL NETWORK ARCHITECTURES FOR AUDIO SIGNAL CLASSIFICATION." In REPRODUCED SOUND 2020. Institute of Acoustics, 2020. http://dx.doi.org/10.25144/13374.
Повний текст джерела
3
Love, J., and D. Gilfillan. "ON THE VIABILITY OF THE ENERGY-TIME CURVE (ETC) IN ELECTRO-ACOUSTICS MEASUREMENT AND ANALYSIS." In REPRODUCED SOUND 2020. Institute of Acoustics, 2020. http://dx.doi.org/10.25144/13371.
Повний текст джерела
4
Love, J., and D. Gilfillan. "ON THE VIABILITY OF THE ENERGY-TIME CURVE (ETC) IN ELECTRO-ACOUSTICS MEASUREMENT AND ANALYSIS." In REPRODUCED SOUND 2020. Institute of Acoustics, 2020. http://dx.doi.org/10.25144/13371.
Повний текст джерела
5
Petiot, Jean-François, Bjørn G. Kristensen, and Anja M. Maier. "How Should an Electric Vehicle Sound? User and Expert Perception." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12535.
Повний текст джерелаАнотація:
As electric vehicles are moving in on the automobile market, safety relating to acoustic perception is an important issue. It is a growing concern, particularly with respect to pedestrians, cyclists or visually impaired people. This can be addressed by adding sounds to the vehicle whilst at low speed. However, adding artificial sounds to an electric vehicle begs the question as to what kind of sound is appropriate. Appropriateness concerns technical specifications and is also linked to affective reactions of recipients of such a sound. Emotional reactions to 17 artificial exterior sounds for electric vehicles were investigated in an experimental setting with a total of 40 participants, 34 novice users and six sound experts. Word association was used to elicit emotional reactions to the different sounds. Novice users employ more character-related terms to describe the sounds, while experts use more composition-based words. Analysis of variance and conjoint analysis was used to analyze participants’ assessments of sounds according to two semantic scales (pleasantness and appropriateness). Considerable inter-individual differences in the ratings of pleasantness and appropriateness indicate a great diversity of opinion about the sounds. Novice users indicate their preference for the sound of the traditional combustion engine as a possible proposition. Whilst participants saw the necessity, there was generally little enthusiasm for adding sounds to electric vehicles. The contribution of the paper concerns the methodology to analyze the results of the experiment and implications for the design of sounds for electric vehicles.
6
Alsaif, Saif Abdulmohsen, and Tameem Saud Alothman. "Predict Drilling Equipment Failure Using AI-Based Sound Waive Analysis Methodology." In Offshore Technology Conference. OTC, 2022. http://dx.doi.org/10.4043/31828-ms.
Повний текст джерелаАнотація:
Abstract Using AI-Based sound wave analysis of drilling equipment to assess its health condition and to predict equipment failure by detecting anomalous sound patterns in both time and frequency domains, and apply predictive maintenance. Machines can produce noise with frequencies higher than the upper audible limit of human hearing, which is referred to as ultrasound (or ultrasonic sound). Thus, by listening to a wider sound spectrum, a better understanding of equipment state is achieved; and will lead to more accurate failure prediction methods. The process starts by capturing sounds via microphone. Then, Short Time Fourier Transform is used to convert time domain sound wave to its corresponding frequency domain. Both time and frequency domain signals are combined to form a two-dimensional spectrogram. This spectrogram is trained using an AI model to learn the difference between normal and abnormal equipment sounds. After training, the system identifies anomalous sounds the equipment might produce. Hence, generate an alert to the operational team to take actions, preventing equipment failure. Compared to the human auditory system, the experimental results showed that the proposed method achieved significant improvement in anomalous sounds detection only for machines that can produce noise in the ultrasound region, while other machines achieved worse results compared to the audible sound region.
7
Matsumoto, Hiroki, Kohshi Nishida, and Ken-ichi Saitoh. "Characteristics of Aerodynamic Sound Sources Generated by Coiled Wires in a Uniform Air Flow." In ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33408.
Повний текст джерелаАнотація:
This study deals experimentally with aerodynamic sounds generated by coiled wires in a uniform air flow. The coiled wire is the model of the hair dryer’s heater. In the experiment, the effects of the outer diameter D, wire diameter d and spacing between coils s of the coiled wire on the aerodynamic sound have been clarified. The results of frequency analyses of the aerodynamic sounds show that an aeolian sound is generated by the coiled wire, when s/d is larger than 1. And the peak frequencies of aeolian sounds generated by the coiled wires are higher than the ones generated by a cylinder having the same diameter d. To clarify the characteristics of the aerodynamic sound sources, the directivity of the aerodynamic sound generated by the coiled wire has been examined. And the coherent function between the velocity fluctuation around the coiled wire and the aerodynamic sound has been measured. Moreover the band overall value of coherent output power between the sound and the velocity fluctuation has been calculated. This method has clarified the sound source region of the aeolian sound generated by the coiled wire. These results show that the aeolian sound is generated by the arc part of the coiled wire which is located in the upper side of the air flow.
8
Liu, Hai, Yanyi Zhang, Dong Hao, Yong Chen, Xiang Ji, and Changyin Wei. "Objective Evaluation of FCV Interior Sound Quality During Acceleration." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87011.
Повний текст джерелаАнотація:
While driving a FCV during acceleration, many sorts of sounds could be heard, which influence the interior sound quality. A typical FCV is taken as a sample, four interior noises generated under the acceleration operation are collected in the whole vehicle semi-anechoic chamber, and the noise sample database of diesel engine radiation noise is established after preprocessing. Based on sound quality theory (physical and psychoacoustic features), the Kernel Principal Component Analysis (KPCA) is used to extract the key objective features mainly influencing the sound quality, which realize the dimension reduction target; the variations of objective features are analyzed to qualitatively analyze the law of the sound quality varying during acceleration. According to the objective evaluation of FCV interior sound quality, combining with FCV operating parameters, the influencing law of the FCV sound quality could be obtained.
9
Wall Emerson, Robert, Dae Shik Kim, Koorosh Naghshineh, and Kyle Myers. "Blind Pedestrians and Quieter Vehicles: How Adding Artificial Sounds Impacts Travel Decisions." In ASME 2012 Noise Control and Acoustics Division Conference at InterNoise 2012. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ncad2012-0221.
Повний текст джерелаАнотація:
This research examined the influence “quiet” (e.g., hybrid and electric) vehicles may have on the ability of blind pedestrians to perform common orientation and mobility tasks under low vehicle speed conditions. The research involved blind participants detecting forward approaching vehicles and approaching backing vehicles, deciding whether a vehicle coming from behind or from the front but across an intersection would continue to go straight or turn across the intended path of travel of a pedestrian seeking to cross a street (i.e., a pathway discrimination task), and taking parallel and perpendicular alignment from passing traffic. Participants included some with normal hearing and some with impaired hearing. Testing was conducted on a public roadway and a parking lot in Kalamazoo, Michigan under ambient sound conditions consistent with a typical urban travel environment. Conditions involved evaluating internal combustion engine (ICE) Chevrolet Malibu and a set of hybrid Chevrolet Volts capable of operating in a “quiet” mode (referred to as Electric Mode or EM) or operating in EM but augmented with one of five different artificially-generated sounds emanating out of a front-bumper mounted speaker. All of the artificial sounds generally performed better against the baseline the Chevrolet Volt EM than the Chevrolet Malibu. This suggests that, to some extent, putting any one of these artificial sounds on a hybrid or electric vehicle may improve pedestrian performance on the measures examined relative to not adding any sound at all. One sound (sound 5) did not outperform against the Chevrolet Malibu in any measure and had the fewest instances of outperforming the Chevrolet Volt EM. Of the remaining 4 sounds, two sounds outperformed both the Chevrolet Malibu and the Chevrolet Volt EM on several measures. Against the Chevrolet Malibu, sound 2 was slightly better in detection distance and crossing margin while sound 4 was better in the path discrimination tasks. The two sounds were equivalent on the alignment tasks. The pathway discrimination task reflects one of the more potentially threatening situations in which a blind pedestrian might encounter a quiet vehicle (e.g., turning to cross the pedestrian’s path). Sound 4 performed much better than sound 2 on this measure, making it the most effective of all the artificial sounds examined. While these two sounds were equitable in the right-straight task, sound 4 showed almost half as many missed vehicle surges (i.e., forward movement from a stop) and 1/4 the rate of missed paths and incorrect judgments. Vehicle sound condition did not impact participants’ alignment. Normal hearing participants performed significantly better than hearing impaired participants on this task, but not as well as would be expected based on previous data [1]. These results support the potential for artificially-generated sounds to improve the ability of blind pedestrians to detect approaching vehicles relative to what is being achieved with ICE vehicles. Regression analysis of the detection data supports previous results that sound energy in the 500 to 1000 Hz range is important for detection. However, the analysis indicates it is not that energy in this region that makes the signal more noticeable, but that energy in this region in the ambient environment hinders detection. Previous findings in low ambient conditions showing a predictive value for the amplitude modulation of an artificial sound were not supported in these data.
10
Huang, Yuzhun, Miaodi Hu, and Jun Zhang. "User Emotional Experience Assessment Method of Product's Intentional Sound." In 8th International Conference on Human Interaction and Emerging Technologies. AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1002750.
Повний текст джерелаАнотація:
Product sound plays an important role in the multi-sensory user experience of home appliances. The sound effects that are given meaning by designers (intentional sounds) in home appliances have three contributions to the user experience: semantic conformity to make a satisfactory contribution to the overall product experience; brand impression; and bringing pleasantness and emotional experience. Based on the three aspects of the impact of intentional sounds on product experience, combined with the Semantic Differential method in the field of Kansei engineering and the Hevner adjective table commonly used in music sentiment analysis, this research will design a set of intentional sound evaluation methods from the perspective of user experience.
Звіти організацій з теми "Sound analysi"
1
Black, Paul E., and Athos Ribiero. SATE V Ockham Sound Analysis Criteria. National Institute of Standards and Technology, March 2016. http://dx.doi.org/10.6028/nist.ir.8113.
Повний текст джерела
2
Black, Paul E., and Kanwardeep Singh Walia. SATE VI Ockham Sound Analysis Criteria. National Institute of Standards and Technology, May 2020. http://dx.doi.org/10.6028/nist.ir.8304.
Повний текст джерела
3
Matsumoto, Hiroyuki, Hisami Ohishi, and Shinji Yamakawa. Sound Analysis of Vehicle by Higher Order Spectra. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0024.
Повний текст джерела
4
Watkins, William A., Mary A. Daher, Nancy A. DiMarzio, and Gina Reppucci. Distinctions in Sound Patterns of Calls by Killer Whales (Orcinus Orca) from Analysis of Computed Sound Features. Fort Belvoir, VA: Defense Technical Information Center, March 1998. http://dx.doi.org/10.21236/ada341030.
Повний текст джерела
5
Imada, Naoki, Takehiro Bando, and Ichiro Hagiwara. The Sound Radiation Optimization Analysis of an Oil Pan. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0167.
Повний текст джерела
6
Gilkey, Robert H. Pattern Analysis Based Models of Masking by Spatially Separated Sound Sources. Fort Belvoir, VA: Defense Technical Information Center, June 1992. http://dx.doi.org/10.21236/ada253036.
Повний текст джерела
7
Brandenberger, Jill M., Carolynn R. Suslick, and Robert K. Johnston. Biological Sampling and Analysis in Sinclair and Dyes Inlets, Washington: Chemical Analyses for 2007 Puget Sound Biota Study. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/947480.
Повний текст джерела
8
Ricketts, B. D. Basin analysis, Eureka Sound Group, Axel Heiberg and Ellesmere islands, Canadian Arctic Archipelago. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1994. http://dx.doi.org/10.4095/194814.
Повний текст джерела
9
Sakamoto, Ichiro, Takeharu Tanaka, Naoyuki Katsura, Yoshiaki Fujikawa, and Susumu Kogawa. Analysis of Tire/Road Noise Radiation Characteristics Under Acceleration Conditions by Sound Intensity. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0175.
Повний текст джерела
10
Imanishi, Yoshitomo, Tomomi Hasegawa, Takashi Mitsuhashi, and Shinji Koyano. Analysis of Sound Field in a Car by Boundary Element Method and Measurement. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0348.
Повний текст джерела