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Статті в журналах з теми "NOISEX database"
Zhang, Yan, Zhen-min Tang, Yan-ping Li, and Yang Luo. "A Hierarchical Framework Approach for Voice Activity Detection and Speech Enhancement." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/723643.
Повний текст джерелаQi, Yingmei, Heming Huang, and Huiyun Zhang. "Research on Speech Emotion Recognition Method Based A-CapsNet." Applied Sciences 12, no. 24 (December 17, 2022): 12983. http://dx.doi.org/10.3390/app122412983.
Повний текст джерелаFAROOQ, O., S. DATTA, and M. C. SHROTRIYA. "WAVELET SUB-BAND BASED TEMPORAL FEATURES FOR ROBUST HINDI PHONEME RECOGNITION." International Journal of Wavelets, Multiresolution and Information Processing 08, no. 06 (November 2010): 847–59. http://dx.doi.org/10.1142/s0219691310003845.
Повний текст джерелаRudramurthy, M. S., V. Kamakshi Prasad, and R. Kumaraswamy. "Speaker Verification Under Degraded Conditions Using Empirical Mode Decomposition Based Voice Activity Detection Algorithm." Journal of Intelligent Systems 23, no. 4 (December 1, 2014): 359–78. http://dx.doi.org/10.1515/jisys-2013-0085.
Повний текст джерелаYang, Jie. "Combining Speech Enhancement and Cepstral Mean Normalization for LPC Cepstral Coefficients." Key Engineering Materials 474-476 (April 2011): 349–54. http://dx.doi.org/10.4028/www.scientific.net/kem.474-476.349.
Повний текст джерелаUpadhyaya, Prashant, Omar Farooq, M. R. Abidi, and Priyanka Varshney. "Comparative Study of Visual Feature for Bimodal Hindi Speech Recognition." Archives of Acoustics 40, no. 4 (December 1, 2015): 609–19. http://dx.doi.org/10.1515/aoa-2015-0061.
Повний текст джерелаVarga, Andrew, and Herman J. M. Steeneken. "Assessment for automatic speech recognition: II. NOISEX-92: A database and an experiment to study the effect of additive noise on speech recognition systems." Speech Communication 12, no. 3 (July 1993): 247–51. http://dx.doi.org/10.1016/0167-6393(93)90095-3.
Повний текст джерелаYang, Ren Di, and Yan Li Zhang. "Denoising of ECG Signal Based on Empirical Mode Decomposition and Adaptive Noise Cancellation." Applied Mechanics and Materials 40-41 (November 2010): 140–45. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.140.
Повний текст джерелаAtaeyan, Mahdieh, and Negin Daneshpour. "Automated Noise Detection in a Database Based on a Combined Method." Statistics, Optimization & Information Computing 9, no. 3 (June 9, 2021): 665–80. http://dx.doi.org/10.19139/soic-2310-5070-879.
Повний текст джерелаMa, Lilong, Tuanwei Xu, Kai Cao, Yinghao Jiang, Dimin Deng, and Fang Li. "Signal Activity Detection for Fiber Optic Distributed Acoustic Sensing with Adaptive-Calculated Threshold." Sensors 22, no. 4 (February 21, 2022): 1670. http://dx.doi.org/10.3390/s22041670.
Повний текст джерелаДисертації з теми "NOISEX database"
Smital, Lukáš. "Vlnková filtrace elektrokardiogramů." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-233607.
Повний текст джерелаTerz, Marek. "Databáze akustických nahrávek." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217314.
Повний текст джерелаNAKAMURA, Satoshi, Kazuya TAKEDA, and Masakiyo FUJIMOTO. "CENSREC-3: An Evaluation Framework for Japanese Speech Recognition in Real Car-Driving Environments." Institute of Electronics, Information and Communication Engineers, 2006. http://hdl.handle.net/2237/15050.
Повний текст джерелаWu, Ruimeng. "UTILIZATION OF EMPIRICAL MODELS TO DETERMINE THE BULK PROPERTIES OF COMPRESSED SOUND ABSORPTIVE MATERIALS." UKnowledge, 2017. https://uknowledge.uky.edu/me_etds/106.
Повний текст джерелаGuédon, Stéphane. "Système à base de connaissances pour l'aide à la surveillance océanique à partir d'un réseau de magnétomètres." Grenoble INPG, 1994. http://www.theses.fr/1994INPG0132.
Повний текст джерелаRamos, Camila Davi. "Caracterização do eletroencefalograma normal em situação de vigília: elaboração da base de dados e análise quantitativa." Universidade Federal de Uberlândia, 2017. https://repositorio.ufu.br/handle/123456789/19571.
Повний текст джерелаThe EEG signal, whose information describes the electrical behavior of the cerebral cortex, although it is widely used for diagnoses, mainly of pathologies such as epilepsy, in Brazil it is still not usual to monitor the ICU environment in public hospitals. Considering this, and assuming that studies on normal EEG, registered in people without neurological problems, are scarce, the creation of a base of normal EEG registers and quantitative analysis of it is necessary so that, through the obtained results, Normal patterns can be established and through them, the identification of pathological parameters becomes more effective. In this project, an EEG database was developed, with 100 valid records from normal and healthy volunteers. In addition, from these records, the waking and closed eyes situation was analyzed under the aspect of three distinct quantifiers, being: Power Contribution Percentage (PCP), Median Frequency (FM) and Coherence, both evaluating the signal in the frequency domain. In order to obtain comparisons for the results obtained by the analysis of the normal EEG data, 128 EEG records were used in coma, with different types of etiologies and outcomes. The rhythms that presented the highest distinctions between normal and coma were Delta and Alpha, mainly for the FM quantifier. It was noted that PCP evaluated power characteristics and therefore synthesized the energy information of each brain rhythm in both normal EEG and EEG coma. Already FM brings information of values of frequencies in which there is greater concentration of power, and finally the quantifier coherence informs the degree of similarity between the right and left hemisphere of the brain. Thus, it was not possible to say which of the quantifiers presented better results, since each one is a distinct characterization.
Dissertação (Mestrado)
Wu, Chih-Hao, and 吳誌豪. "Development and Applications of Ocean Ambient Noise Database around Taiwan." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/3f68gn.
Повний текст джерела國立中山大學
海下科技暨應用海洋物理研究所
97
Ocean ambient noise is one of the important parameters which affect sonar system performance. If the ocean ambient noise is estimated accurately, the prediction accuracy of sonar system performance can be promoted significantly. Ocean ambient noise includes various and diverse sources, so the characteristics of the ocean ambient noise should be analyzed by long-term observations and statistical methods. Therefore, ocean ambient noise database was developed to facilitate management, preservation, and application of these datasets which increase with time. There were two datasets of acoustic and three datasets of wind speed in this database at this point. To develop this database systematically, this study applied Entity-Relationship Model to describe the relationship between different data and Relational Model to design the required categories. The database was constructed based on Microsoft Office Access, and user-friendly graphical interfaces based on MATLAB were provided for users: wind speed regression, time series, spectrogram, and spectrum tendency for users to query the database. As the results of analysis, the intermittent, unknown, and high-level sources at southwestern sea of Taiwan in spring and summer made the noise level of low frequency about 8 to 10 dB higher in the night-time than that in the day-time. According to wind speed regression analysis, if there were sufficient data, the method would be practicable to pick a wind speed data nearby the location of acoustic data for noise estimation. As the results of the typhoon effects analysis, the noise level of 1 to 8 kHz was increased significantly by typhoons. Besides, the noise level didn’t decrease immediately and significantly after the pass of typhoon because of southwestern air current caused typhoon. After the database was developed, new acoustic data will keep being measured and collected, and the network capability will be integrated into the database to make the database more accessible to users.
Qahwaji, Rami S. R. "Detecting edges in noisy face database images." 2003. http://hdl.handle.net/10454/4069.
Повний текст джерелаWu, Jen-You, and 吳禎祐. "Using Noise Addition on Protecting Partially Open, Sensitive and Static Databases." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/81322433987641906676.
Повний текст джерела國立成功大學
工程科學系專班
97
With the growth of electronic commerce, paperless operations are gradually replacing traditional operations. The computing speed progresses substantially along with the advancement of hardware. Fast and instant access is not a difficult issue under this background. However, databases with sensitive data might be broken through by the intruders by combining anonymous sensitive databases with disclosure databases. If this should happen to medical and military databases and it would cause damages that can not be recovered. Besides, the convenience that Internet brings is also accompanied with the phenomenon of increasing network crimes. It is a dilemma to either give the exact data or “perturbed’ data for the users. For example, if we export the “perturbed” data, it might be happen that a doctor cannot make emergency rescue rapidly due to the low accuracy of patients’ case history. This thesis is to remove the uniqueness of sensitive data in databases under the premise of keeping the accuracy of statistical data. We propose two new algorithms: Reducing Noise Addition and Random Noise Interval Addition. Reducing Noise Addition combines tradition noise addition and group noise reducing to generalize the data in groups and removes the uniqueness of each tuple. Random Interval Noise Addition adds noise to the random values in groups and calculates an interval to cover the original data values. At last, but not the least, we implemented our algorithms in a web-based system to analyze its feasibility.
Pullin, Eric D. ""Noise and flutter" : India, propaganda, and global conflict, 1942-1963 /." 2009. http://www.library.wisc.edu/databases/connect/dissertations.html.
Повний текст джерелаКниги з теми "NOISEX database"
Gerhold, Carl H. Database of inlet and exhaust noise shielding for wedge-shaped airframe. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2001.
Знайти повний текст джерелаPage, Juliet, Chris Hobbs, and Phil Gliebe. Enhanced Modeling of Aircraft Taxiway Noise, Volume 2: Aircraft Taxi Noise Database and Development Process. Washington, D.C.: Transportation Research Board, 2013. http://dx.doi.org/10.17226/22606.
Повний текст джерелаUnited States. National Aeronautics and Space Administration. and Dryden Flight Research Facility, eds. Engine exhaust characteristics evaluation in support of aircraft acoustic testing. [Washington, D.C.?]: National Aeronautics and Space Administration, 1993.
Знайти повний текст джерелаN, Dalton William, and NASA Glenn Research Center, eds. Lobed mixer design for noise suppression: Acoustic and aerodynamic test data analysis. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.
Знайти повний текст джерелаA, Boxwell D., Spencer R. H, Ames Research Center, and United States. Army Aviation Research and Technology Activity., eds. Review and analysis of the DNW/model 360 rotor acoustic data base. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1989.
Знайти повний текст джерелаICA 2004 (2004 Granada, Spain). Database and expert systems applications: 5th international conference, ICA 2004, Granada, Spain, September 22-24, 2004 : proceedings. Berlin: Springer, 2004.
Знайти повний текст джерелаDatabase of inlet and exhaust noise shielding for wedge-shaped airframe. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2001.
Знайти повний текст джерелаNational Aeronautics and Space Administration (NASA) Staff. Database of Inlet and Exhaust Noise Shielding for Wedge-Shaped Airframe. Independently Published, 2018.
Знайти повний текст джерелаMode Propagation Database Suitable for Code Validation Utilizing the NASA Glenn Advanced Noise Control Fan and Artificial Sources. Independently Published, 2019.
Знайти повний текст джерелаTaberlet, Pierre, Aurélie Bonin, Lucie Zinger, and Eric Coissac. DNA metabarcoding data analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198767220.003.0008.
Повний текст джерелаЧастини книг з теми "NOISEX database"
Domingo-Ferrer, Josep. "Noise Addition." In Encyclopedia of Database Systems, 1–2. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4899-7993-3_1495-2.
Повний текст джерелаDomingo-Ferrer, Josep. "Noise Addition." In Encyclopedia of Database Systems, 1911. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_1495.
Повний текст джерелаDomingo-Ferrer, Josep. "Noise Addition." In Encyclopedia of Database Systems, 2502–3. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_1495.
Повний текст джерелаDe Muer, Tom, Andy Verkeyn, and Dick Botteldooren. "Noise Annoyance Mapping." In Spatio-Temporal Databases, 369–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09968-1_17.
Повний текст джерелаOganian, Anna. "Multiplicative Noise Protocols." In Privacy in Statistical Databases, 107–17. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15838-4_10.
Повний текст джерелаMiodragović, Tanja, Mladen Rasinac, Jelena Tomić, and Branko Radičević. "Online Database of Industrial Noise Sources." In Springer Proceedings in Physics, 165–71. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-54136-1_16.
Повний текст джерелаMa, Yue, Yan-Xia Lin, Pavel N. Krivitsky, and Bradley Wakefield. "Quantifying the Protection Level of a Noise Candidate for Noise Multiplication Masking Scheme." In Privacy in Statistical Databases, 279–93. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99771-1_19.
Повний текст джерелаCheah, You-Wei, Beth Plale, Joey Kendall-Morwick, David Leake, and Lavanya Ramakrishnan. "A Noisy 10GB Provenance Database." In Business Process Management Workshops, 370–81. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28115-0_35.
Повний текст джерелаLiu, Rey-Long. "Reduction of Training Noises for Text Classifiers." In Intelligent Information and Database Systems, 30–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36543-0_4.
Повний текст джерелаBrand, Ruth. "Microdata Protection through Noise Addition." In Inference Control in Statistical Databases, 97–116. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-47804-3_8.
Повний текст джерелаТези доповідей конференцій з теми "NOISEX database"
Feng, John, and Josef Hobelsberger. "ASAM-ODS: An Open Standards Engineering Database for NVH Activities." In SAE 2003 Noise & Vibration Conference and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2003. http://dx.doi.org/10.4271/2003-01-1441.
Повний текст джерелаThiemann, Joachim, Nobutaka Ito, and Emmanuel Vincent. "The Diverse Environments Multi-channel Acoustic Noise Database (DEMAND): A database of multichannel environmental noise recordings." In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4799597.
Повний текст джерелаFolino, Francesco, Gianluigi Greco, Antonella Guzzo, and Luigi Pontieri. "Discovering expressive process models from noised log data." In the 2009 International Database Engineering & Applications Symposium. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1620432.1620449.
Повний текст джерелаBirdsong, Charles, and Clark Radcliffe. "Development of a Comparison Index and a Database for Sea Model Results." In SAE Noise and Vibration Conference and Exposition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1997. http://dx.doi.org/10.4271/972008.
Повний текст джерелаOgnedal, Tønnes A., and Reidulf Klovning. "Noise and Vibration Database on Handheld Tools." In SPE International Conference and Exhibition on Health, Safety, Security, Environment, and Social Responsibility. Society of Petroleum Engineers, 2016. http://dx.doi.org/10.2118/179237-ms.
Повний текст джерелаLiu, 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 джерелаVan den Nieuwenhof, Benoît, Grégory Lielens, Jean-Pierre Coyette, Jean-Louis Guyader, Nicolas Totaro, and Pascal Bouvet. "Making Sense of Large FEA NVH Databases using SEA Concepts." In SAE 2007 Noise and Vibration Conference and Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2007. http://dx.doi.org/10.4271/2007-01-2183.
Повний текст джерелаO'Mahony, Michael P., Neil J. Hurley, and Guénolé C. M. Silvestre. "Detecting noise in recommender system databases." In the 11th international conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1111449.1111477.
Повний текст джерелаYin, Hua, Hongbin Dong, and Yuxuan Li. "A Cluster-Based Noise Detection Algorithm." In 2009 First International Workshop on Database Technology and Applications, DBTA. IEEE, 2009. http://dx.doi.org/10.1109/dbta.2009.39.
Повний текст джерелаSayigh, Laela, Mary Ann Daher, Julie Allen, Helen Gordon, Katherine Joyce, Claire Stuhlmann, and Peter Tyack. "The Watkins Marine Mammal Sound Database: An online, freely accessible resource." In Fourth International Conference on the Effects of Noise on Aquatic Life. Acoustical Society of America, 2016. http://dx.doi.org/10.1121/2.0000358.
Повний текст джерелаЗвіти організацій з теми "NOISEX database"
EDGEMON, G. L. Status of Database for Electrochemical Noise Based Corrosion Monitoring. Office of Scientific and Technical Information (OSTI), August 1999. http://dx.doi.org/10.2172/797750.
Повний текст джерелаFiron, Nurit, Prem Chourey, Etan Pressman, Allen Hartwell, and Kenneth J. Boote. Molecular Identification and Characterization of Heat-Stress-Responsive Microgametogenesis Genes in Tomato and Sorghum - A Feasibility Study. United States Department of Agriculture, October 2007. http://dx.doi.org/10.32747/2007.7591741.bard.
Повний текст джерела