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Tesis sobre el tema "Computational auditory scene analysis"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

Ellis, Daniel Patrick Whittlesey. "Prediction-driven computational auditory scene analysis." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/11006.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.<br>Includes bibliographical references (p. 173-180).<br>by Daniel P.W. Ellis.<br>Ph.D.

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2

Delmotte, Varinthira Duangudom. "Computational auditory saliency." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45888.

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The objective of this dissertation research is to identify sounds that grab a listener's attention. These sounds that draw a person's attention are sounds that are considered salient. The focus here will be on investigating the role of saliency in the auditory attentional process. In order to identify these salient sounds, we have developed a computational auditory saliency model inspired by our understanding of the human auditory system and auditory perception. By identifying salient sounds we can obtain a better understanding of how sounds are processed by the auditory system, and in par

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3

Shao, Yang. "Sequential organization in computational auditory scene analysis." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1190127412.

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4

Brown, Guy Jason. "Computational auditory scene analysis : a representational approach." Thesis, University of Sheffield, 1992. http://etheses.whiterose.ac.uk/2982/.

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This thesis addresses the problem of how a listener groups together acoustic components which have arisen from the same environmental event, a phenomenon known as auditory scene analysis. A computational model of auditory scene analysis is presented, which is able to separate speech from a variety of interfering noises. The model consists of four processing stages. Firstly, the auditory periphery is simulated by a bank of bandpass filters and a model of inner hair cell function. In the second stage, physiologically-inspired models of higher auditory organization - aiditory maps - are used to p

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5

Srinivasan, Soundararajan. "Integrating computational auditory scene analysis and automatic speech recognition." Columbus, Ohio : Ohio State University, 2006. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1158250036.

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6

Narayanan, Arun. "Computational auditory scene analysis and robust automatic speech recognition." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1401460288.

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7

Unnikrishnan, Harikrishnan. "AUDIO SCENE SEGEMENTATION USING A MICROPHONE ARRAY AND AUDITORY FEATURES." UKnowledge, 2010. http://uknowledge.uky.edu/gradschool_theses/622.

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Auditory stream denotes the abstract effect a source creates in the mind of the listener. An auditory scene consists of many streams, which the listener uses to analyze and understand the environment. Computer analyses that attempt to mimic human analysis of a scene must first perform Audio Scene Segmentation (ASS). ASS find applications in surveillance, automatic speech recognition and human computer interfaces. Microphone arrays can be employed for extracting streams corresponding to spatially separated sources. However, when a source moves to a new location during a period of silence, such

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8

Nakatani, Tomohiro. "Computational Auditory Scene Analysis Based on Residue-driven Architecture and Its Application to Mixed Speech Recognition." 京都大学 (Kyoto University), 2002. http://hdl.handle.net/2433/149754.

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9

Javadi, Ailar. "Bio-inspired noise robust auditory features." Thesis, Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44801.

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The purpose of this work is to investigate a series of biologically inspired modifications to state-of-the-art Mel- frequency cepstral coefficients (MFCCs) that may improve automatic speech recognition results. We have provided recommendations to improve speech recognition results de- pending on signal-to-noise ratio levels of input signals. This work has been motivated by noise-robust auditory features (NRAF). In the feature extraction technique, after a signal is filtered using bandpass filters, a spatial derivative step is used to sharpen the results, followed by an envelope detector (recti

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10

Melih, Kathy, and n/a. "Audio Source Separation Using Perceptual Principles for Content-Based Coding and Information Management." Griffith University. School of Information Technology, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20050114.081327.

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The information age has brought with it a dual problem. In the first place, the ready access to mechanisms to capture and store vast amounts of data in all forms (text, audio, image and video), has resulted in a continued demand for ever more efficient means to store and transmit this data. In the second, the rapidly increasing store demands effective means to structure and access the data in an efficient and meaningful manner. In terms of audio data, the first challenge has traditionally been the realm of audio compression research that has focused on statistical, unstructured audio represent

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11

Melih, Kathy. "Audio Source Separation Using Perceptual Principles for Content-Based Coding and Information Management." Thesis, Griffith University, 2004. http://hdl.handle.net/10072/366279.

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The information age has brought with it a dual problem. In the first place, the ready access to mechanisms to capture and store vast amounts of data in all forms (text, audio, image and video), has resulted in a continued demand for ever more efficient means to store and transmit this data. In the second, the rapidly increasing store demands effective means to structure and access the data in an efficient and meaningful manner. In terms of audio data, the first challenge has traditionally been the realm of audio compression research that has focused on statistical, unstructured audio represent

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12

Trowitzsch, Ivo [Verfasser], Klaus [Akademischer Betreuer] Obermayer, Klaus [Gutachter] Obermayer, Dorothea [Gutachter] Kolossa, and Thomas [Gutachter] Sikora. "Robust sound event detection in binaural computational auditory scene analysis / Ivo Trowitzsch ; Gutachter: Klaus Obermayer, Dorothea Kolossa, Thomas Sikora ; Betreuer: Klaus Obermayer." Berlin : Technische Universität Berlin, 2020. http://d-nb.info/1210055120/34.

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13

Roman, Nicoleta. "Auditory-based algorithms for sound segregation in multisource and reverberant environments." Connect to resource, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1124370749.

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Thesis (Ph. D.)--Ohio State University, 2005.<br>Title from first page of PDF file. Document formatted into pages; contains i-xxii, xx-xxi, 183 p.; also includes graphics. Includes bibliographical references (p. 171-183). Available online via OhioLINK's ETD Center

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14

Otsuka, Takuma. "Bayesian Microphone Array Processing." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188871.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(情報学)<br>甲第18412号<br>情博第527号<br>新制||情||93(附属図書館)<br>31270<br>京都大学大学院情報学研究科知能情報学専攻<br>(主査)教授奥乃博, 教授河原達也, 准教授 CUTURI CAMETO Marco, 講師吉井和佳<br>学位規則第4条第1項該当

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15

Jin, Zhaozhang. "Monaural Speech Segregation in Reverberant Environments." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1279141797.

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16

Woodruff, John F. "Integrating Monaural and Binaural Cues for Sound Localization and Segregation in Reverberant Environments." The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1332425718.

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17

Wang, Yuxuan. "Supervised Speech Separation Using Deep Neural Networks." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1426366690.

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18

Chen, Jitong. "On Generalization of Supervised Speech Separation." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1492038295603502.

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19

Zhao, Yan. "Deep learning methods for reverberant and noisy speech enhancement." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1593462119759348.

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20

Liu, Yuzhou. "Deep CASA for Robust Pitch Tracking and Speaker Separation." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1566179636974186.

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21

Golden, H. L. "Auditory scene analysis in Alzheimer's disease." Thesis, University College London (University of London), 2016. http://discovery.ucl.ac.uk/1474234/.

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This thesis explores the behavioural and neuroanatomical picture of Auditory Scene Analysis (ASA) in Alzheimer’s disease (AD). Central auditory dysfunction is an understudied symptom of AD and there has been little connection between the neuropathological profile of the disease, its relationship to generic ASA functions, and real-world listening situations. Utilising novel neuropsychological batteries alongside structural and functional imaging techniques, this thesis aims to bridge this gap through investigations of auditory spatial, speech in noise, and (as a specialised auditory scene) musi

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22

Yan, Rujiao [Verfasser]. "Computational Audiovisual Scene Analysis / Rujiao Yan." Bielefeld : Universitätsbibliothek Bielefeld, 2014. http://d-nb.info/1058945572/34.

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23

Sauvé, Sarah A. "Prediction in polyphony : modelling musical auditory scene analysis." Thesis, Queen Mary, University of London, 2018. http://qmro.qmul.ac.uk/xmlui/handle/123456789/46805.

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How do we know that a melody is a melody? In other words, how does the human brain extract melody from a polyphonic musical context? This thesis begins with a theoretical presentation of musical auditory scene analysis (ASA) in the context of predictive coding and rule-based approaches and takes methodological and analytical steps to evaluate selected components of a proposed integrated framework for musical ASA, unified by prediction. Predictive coding has been proposed as a grand unifying model of perception, action and cognition and is based on the idea that brains process error to refine m

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24

Hutchison, Joanna Lynn. "Boundary extension in the auditory domain." Fort Worth, Tex. : Texas Christian University, 2007. http://etd.tcu.edu/etdfiles/available/etd-07232007-150552/unrestricted/Hutchison.pdf.

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25

Harding, Susan M. "Multi-resolution auditory scene analysis for speech perception : experimental evidence and a model." Thesis, Keele University, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.275284.

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26

Atilgan, Huriye. "A visionary approach to listening : determining the role of vision in auditory scene analysis." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/1573694/.

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To recognize and understand the auditory environment, the listener must first separate sounds that arise from different sources and capture each event. This process is known as auditory scene analysis. The aim of this thesis is to investigate whether and how visual information can influence auditory scene analysis. The thesis consists of four chapters. Firstly, I reviewed the literature to give a clear framework about the impact of visual information on the analysis of complex acoustic environments. In chapter II, I examined psychophysically whether temporal coherence between auditory and visu

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27

McMullan, Amanda R. "Electroencephalographic measures of auditory perception in dynamic acoustic environments." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Neuroscience, c2013, 2013. http://hdl.handle.net/10133/3354.

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We are capable of effortlessly parsing a complex scene presented to us. In order to do this, we must segregate objects from each other and from the background. While this process has been extensively studied in vision science, it remains relatively less understood in auditory science. This thesis sought to characterize the neuroelectric correlates of auditory scene analysis using electroencephalography. Chapter 2 determined components evoked by first-order energy boundaries and second-order pitch boundaries. Chapter 3 determined components evoked by first-order and second-order discontinuous m

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28

Shirazibeheshti, Amirali. "The effect of sedation on conscious processing : computational analysis of the EEG response to auditory irregularity." Thesis, University of Kent, 2015. https://kar.kent.ac.uk/54467/.

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Characterising the relationships between conscious and unconscious processes is one of the most important goals in cognitive neuroscience. Behavioural studies as well as neuroimaging techniques have been conducted to understand the nature of conscious perception in the brain. Functional brain imaging and EEG (Electroencephalogram) methods allow for detailed exploration of neural and computational correlates of conscious and unconscious cognition. Using a high density EEG dataset, recorded from 129 electrodes over the scalp, we studied the neural responses of the brain to auditory stimuli. To t

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29

Ardam, Nagaraju. "Study of ASA Algorithms." Thesis, Linköpings universitet, Elektroniksystem, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70996.

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Hearing aid devices are used to help people with hearing impairment. The number of people that requires hearingaid devices are possibly constant over the years, however the number of people that now have access to hearing aiddevices increasing rapidly. The hearing aid devices must be small, consume very little power, and be fairly accurate.Even though it is normally more important for the user that hearing impairment look good (are discrete). Once thehearing aid device prescribed to the user, she/he needs to train and adjust the device to compensate for the individualimpairment.We are within t

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30

Ravulapalli, Sunil Babu. "Association of Sound to Motion in Video Using Perceptual Organization." Scholar Commons, 2006. http://scholarcommons.usf.edu/etd/3769.

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Technological developments and innovations of the first forty years of the digital era have primarily addressed either the audio or the visual senses. Consequently, designers have primarily focused on the audio or the visual aspects of design. In the perspective of video surveillance, the data under consideration has always been visual. However, in light of the new behavioral and physiological studies which established a proof of cross modality in human perception i.e. humans do not process audio and visual stimulus separately, but percieve a scene based on all stimulus available, similar cues

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31

Hamid, Muhammad Raffay. "A computational framework for unsupervised analysis of everyday human activities." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24765.

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Thesis (Ph.D.)--Computing, Georgia Institute of Technology, 2009.<br>Committee Chair: Aaron Bobick; Committee Member: Charles Isbell; Committee Member: David Hogg; Committee Member: Irfan Essa; Committee Member: James Rehg

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32

Swadzba, Agnes [Verfasser]. "The robots vista space : a computational 3D scene analysis / Agnes Swadzba. AG Angewandte Informatik -- Technische Fakultät (Bereich Informatik). Sonderforschungsbereich: Alignment in Communication (DFG SFB 673)." Bielefeld : Universitätsbibliothek Bielefeld, Hochschulschriften, 2011. http://d-nb.info/1012433447/34.

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33

Mahapatra, Arun Kiran. "Investigation of noise in hospital emergency departments." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/45842.

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The hospital sound environment is complex. Emergency Departments (EDs), in particular, have proven to be hectic work environments populated with diverse sound sources. Medical equipment, alarms, and communication events generate noise that can interfere with staff concentration and communication. In this study, sound measurements and analyses were conducted in six hospitals total: three civilian hospitals in Atlanta, Georgia and Dublin, Ohio, as well as three Washington, DC-area hospitals in the Military Health System (MHS). The equivalent, minimum, and maximum sound pressure levels were recor

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34

Deleforge, Antoine. "Acoustic Space Mapping : A Machine Learning Approach to Sound Source Separation and Localization." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM033/document.

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Dans cette thèse, nous abordons le problème longtemps étudié de la séparation et localisation binaurale (deux microphones) de sources sonores par l'apprentissage supervisé. Dans ce but, nous développons un nouveau paradigme dénommé projection d'espaces acoustiques, à la croisé des chemins entre la perception binaurale, de l'écoute robotisée, du traitement du signal audio, et de l'apprentissage automatisé. L'approche proposée consiste à apprendre un lien entre les indices auditifs perçus par le système et la position de la source sonore dans une autre modalité du système, comme l'espace visuell

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35

David, Marion. "Toward sequential segregation of speech sounds based on spatial cues." Thesis, Vaulx-en-Velin, Ecole nationale des travaux publics, 2014. http://www.theses.fr/2014ENTP0013/document.

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Dans un contexte sonore constitué de plusieurs sources sonores, l’analyse de scène auditive a pour objectif de dresser une représentation précise et utile des sons perçus. Résoudre ce type de scènes consiste à regrouper les sons provenant d’une même source et de les séparer des autres sons. Ce travail de thèse a eu pour but d’approfondir nos connaissances du traitement de ces scènes auditives complexes par le système auditif. En particulier, il s’agissait d’étudier l’influence potentielle des indices spatiaux sur la ségrégation. Une attention particulière a été portée tout au long de cette thè

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36

David, Marion. "Toward sequential segregation of speech sounds based on spatial cues." Electronic Thesis or Diss., Vaulx-en-Velin, École nationale des travaux publics de l’État, 2014. http://www.theses.fr/2014ENTP0013.

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Dans un contexte sonore constitué de plusieurs sources sonores, l’analyse de scène auditive a pour objectif de dresser une représentation précise et utile des sons perçus. Résoudre ce type de scènes consiste à regrouper les sons provenant d’une même source et de les séparer des autres sons. Ce travail de thèse a eu pour but d’approfondir nos connaissances du traitement de ces scènes auditives complexes par le système auditif. En particulier, il s’agissait d’étudier l’influence potentielle des indices spatiaux sur la ségrégation. Une attention particulière a été portée tout au long de cette thè

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37

Devergie, Aymeric. "Interactions audiovisuelles pour l'analyse de scènes auditives." Phd thesis, Université Claude Bernard - Lyon I, 2010. http://tel.archives-ouvertes.fr/tel-00830927.

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Percevoir la parole dans le bruit représente une opération complexe pour notre système perceptif. Pour parvenir à analyser cette scène auditive, nous mettons en place des mécanismes de ségrégation auditive. Nous pouvons également lire sur les lèvres pour améliorer notre compréhension de la parole. L'hypothèse initiale, présentée dans ce travail de thèse, est que ce bénéfice visuel pourrait en partie reposer sur des interactions entre l'information visuelle et les mécanismes de ségrégation auditive. Les travaux réalisés montrent que lorsque la cohérence audiovisuelle est importante, les mécanis

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38

Huet, Moïra-Phoebé. "Voice mixology at a cocktail party : Combining behavioural and neural tracking for speech segregation." Thesis, Lyon, 2020. http://www.theses.fr/2020LYSEI070.

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Il n’est pas toujours aisé de suivre une conversation dans un environnement bruyant. Pour parvenir à discriminer deux locuteurs, nous devons mobiliser de nombreux mécanismes perceptifs et cognitifs, ce qui peut parfois entraîner un basculement momentané de notre attention auditive sur les discussions alentour. Dans cette thèse, les processus qui sous-tendent la ségrégation de la parole sont explorés à travers des expériences comportementales et neurophysiologiques. Dans un premier temps, le développement d’une tâche d’intelligibilité – le Long-SWoRD test – est introduit. Ce nouveau protocole p

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39

Dufour, Jean-Yves. "Contribution algorithmique a la conception d'un systeme integre d'analyse temps-reel de scenes dynamiques : reconnaissance d'objets et analyse de mouvement dans une sequence d'images." Caen, 1988. http://www.theses.fr/1988CAEN2034.

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Deux problemes de l'analyse de scene ont ete etudies: la reconnaissance automatique d'objets et l'analyse temporelle des images fournies par le senseur. En ce qui concerne la reconnaissance d'objets, l'interet a ete porte sur l'aspect "decision" du probleme. Pour la partie analyse temporelle les travaux ont ete consacres a la conception d'un module de recalage d'images

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40

Mouterde, Solveig. "Long-range discrimination of individual vocal signatures by a songbird : from propagation constraints to neural substrate." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4012/document.

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L'un des plus grands défis posés par la communication est que l'information codée par l'émetteur est toujours modifiée avant d'atteindre le récepteur, et que celui-ci doit traiter cette information altérée afin de recouvrer le message. Ceci est particulièrement vrai pour la communication acoustique, où la transmission du son dans l'environnement est une source majeure de dégradation du signal, ce qui diminue l'intensité du signal relatif au bruit. La question de savoir comment les animaux transmettent l'information malgré ces conditions contraignantes a été l'objet de nombreuses études, portan

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41

Bordeau, Camille. "Développement d’un dispositif de substitution sensorielle vision-vers-audition : étude des performances de localisation et comparaison de schémas d’encodage." Electronic Thesis or Diss., Bourgogne Franche-Comté, 2023. https://nuxeo.u-bourgogne.fr/nuxeo/site/esupversions/32b91892-b42f-4d42-bf10-0ad744828698.

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Les dispositifs de substitution sensorielle vision-vers-audition convertissent des informations visuelles en un paysage sonore dans le but de permettre de percevoir l’environnement à travers la modalité auditive lorsque la modalité visuelle est altérée. Ils constituent une solution prometteuse pour améliorer l’autonomie des personnes déficientes visuelles lors de leurs déplacements pédestres. Ce travail de thèse avait pour objectif principal de déterminer et d’évaluer un schéma d’encodage pour la substitution sensorielle permettant la perception spatiale 3-dimensionnelle en proposant des proto

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42

Camonin, Martine. "Mephisto : un outil de validation de modèles tridimensionnels." Nancy 1, 1987. http://www.theses.fr/1987NAN10149.

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Le système présente a été développé dans le cadre d'un système d'interprétation de scènes tridimentionnelles (Trident). Le modèle choisi permet de décrire des familles d'objets génériques construits par unions de primitives. La tache du système Mephisto est de décider de la cohérence d'un modèle fourni par l'utilisateur avant qu'il ne soit utilisé par trident. Dans le contexte de la représentation choisie, un modèle peut être vu comme un graphe et/ou avec contraintes. Une stratégie de recherche de chemin dans un graphe et/ou, minimisant en moyenne les coûts de construction, à partir d'une éval

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43

Salamon, Justin J. "Melody extraction from polyphonic music signals." Doctoral thesis, Universitat Pompeu Fabra, 2013. http://hdl.handle.net/10803/123777.

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Music was the first mass-market industry to be completely restructured by digital technology, and today we can have access to thousands of tracks stored locally on our smartphone and millions of tracks through cloud-based music services. Given the vast quantity of music at our fingertips, we now require novel ways of describing, indexing, searching and interacting with musical content. In this thesis we focus on a technology that opens the door to a wide range of such applications: automatically estimating the pitch sequence of the melody directly from the audio signal of a polyphonic music re

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44

Ellis, Daniel P. W. "Prediction-driven computational auditory scene analysis." Thesis, 1996. https://doi.org/10.7916/D84J0N13.

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The sound of a busy environment, such as a city street, gives rise to a perception of numerous distinct events in a human listener--the 'auditory scene analysis' of the acoustic information. Recent advances in the understanding of this process from experimental psychoacoustics have led to several efforts to build a computer model capable of the same function. This work is known as 'computational auditory scene analysis'. The dominant approach to this problem has been as a sequence of modules, the output of one forming the input to the next. Sound is converted to its spectrum, cues are picked o

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45

Yang, Cheng-Jia, and 楊政家. "Computational Auditory Scene Analysis for Speech Segregation." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/19929826462460307835.

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碩士<br>國立高雄第一科技大學<br>電腦與通訊工程研究所<br>102<br>Speech Separation is one of the most difficult task. It uses computational auditory scene analysis to separate in this study. The main Calculation methods is simulate Human auditory via computer, including Gammatone filter banks to simulate cochlear, and Meddis inner hair cell model simulate the wave form signal to Electrical signals. After the Gammatone filter banks and Meddis inner hair cell, the input signal will convert to time-frequency units and through classifier to classify which are noise units or speech units. Then collect all speech unit and

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46

Chou, Kenny. "A biologically inspired approach to the cocktail party problem." Thesis, 2020. https://hdl.handle.net/2144/41043.

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At a cocktail party, one can choose to scan the room for conversations of interest, attend to a specific conversation partner, switch between conversation partners, or not attend to anything at all. The ability of the normal-functioning auditory system to flexibly listen in complex acoustic scenes plays a central role in solving the cocktail party problem (CPP). In contrast, certain demographics (e.g., individuals with hearing impairment or older adults) are unable to solve the CPP, leading to psychological ailments and reduced quality of life. Since the normal auditory system still outperform

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Armstrong, Jonathan M. "Machine listening, musicological analysis and the creative process : the production of song-based music influenced by augmented listening techniques." Thesis, 2020. http://hdl.handle.net/1959.7/uws:68395.

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The creative process of making recordings in the popular music sphere is impossible to disconnect from the concept of influence. Whether practitioners are influenced consciously or subconsciously, and push toward, or away from their influences, they are shaped by the music they hear. This research-led practice project augments the influencing factors in the creation of an album of song-based music by foregrounding the listening process. This is approached by conducting an in-depth analysis of a set of tracks using a combined methodology integrating traditional popular music analysis techniques

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Cantu, Marcos Antonio. "Sound source segregation of multiple concurrent talkers via Short-Time Target Cancellation." Thesis, 2018. https://hdl.handle.net/2144/32082.

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The Short-Time Target Cancellation (STTC) algorithm, developed as part of this dissertation research, is a “Cocktail Party Problem” processor that can boost speech intelligibility for a target talker from a specified “look” direction, while suppressing the intelligibility of competing talkers. The algorithm holds promise for both automatic speech recognition and assistive listening device applications. The STTC algorithm operates on a frame-by-frame basis, leverages the computational efficiency of the Fast Fourier Transform (FFT), and is designed to run in real time. Notably, performance in ob

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Gillingham, Susan. "Auditory Search: The Deployment of Attention within a Complex Auditory Scene." Thesis, 2012. http://hdl.handle.net/1807/33220.

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Current theories of auditory attention are largely based upon studies examining either the presentation of a single auditory stimulus or requiring the identification and labeling of stimuli presented sequentially. Whether or not these theories apply in more complex ecologically-valid environments where multiple sound sources are simultaneously active is still unknown. This study examined the pattern of neuromagnetic responses elicited when participants had to perform a search in an auditory language-based `scene` for a stimulus matching an imperative target held in working memory. The analysis

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Νταλαμπίρας, Σταύρος. "Ψηφιακή επεξεργασία και αυτόματη κατηγοριοποίηση περιβαλλοντικών ήχων". Thesis, 2010. http://nemertes.lis.upatras.gr/jspui/handle/10889/3705.

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Στο κεφάλαιο 1 παρουσιάζεται μία γενική επισκόπηση της αυτόματης αναγνώρισης γενικευμένων ακουστικών γεγονότων. Επιπλέον συζητάμε τις εφαρμογές της τεχνολογίας αναγνώρισης ακουστικού σήματος και δίνουμε μία σύντομη περιγραφή του state of the art. Τέλος, αναφέρουμε τη συνεισφορά της διατριβής. Στο κεφάλαιο 2 εισάγουμε τον αναγνώστη στο χώρο της επεξεργασίας ακουστικών σημάτων που δε περιλαμβάνουν ομιλία. Παρουσιάζονται οι σύγχρονες προσεγγίσεις όσον αφορά στις μεθοδολογίες εξαγωγής χαρακτηριστικών και αναγνώρισης προτύπων. Στο κεφάλαιο 3 προτείνεται ένα καινοτόμο σύστημα αναγνώρισης ήχων ε

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