Literatura académica sobre el tema "Noisy environments"
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Artículos de revistas sobre el tema "Noisy environments"
Qian, Chao, Yang Yu y Zhi-Hua Zhou. "Analyzing Evolutionary Optimization in Noisy Environments". Evolutionary Computation 26, n.º 1 (marzo de 2018): 1–41. http://dx.doi.org/10.1162/evco_a_00170.
Texto completoSUNITHA, P., V. SAILAJA y B. VASANTHA LAKSHMI. "NOISE ROBUST SPEECH RECOGNITION UNDER NOISY ENVIRONMENTS". i-manager’s Journal on Pattern Recognition 7, n.º 2 (2020): 23. http://dx.doi.org/10.26634/jpr.7.2.18094.
Texto completoPhung, Trung-Nghia, Huy-Khoi Do, Van-Tao Nguyen y Quang-Vinh Thai. "Eigennoise Speech Recovery in Adverse Environments with Joint Compensation of Additive and Convolutive Noise". Advances in Acoustics and Vibration 2015 (3 de noviembre de 2015): 1–9. http://dx.doi.org/10.1155/2015/170183.
Texto completoChen, Bin, Jinbao Long, Hongtai Xie, Chenyang Li, Luokan Chen, Bonan Jiang y Shuai Chen. "Portable atomic gravimeter operating in noisy urban environments". Chinese Optics Letters 18, n.º 9 (2020): 090201. http://dx.doi.org/10.3788/col202018.090201.
Texto completoCucker, Felipe y Ernesto Mordecki. "Flocking in noisy environments". Journal de Mathématiques Pures et Appliquées 89, n.º 3 (marzo de 2008): 278–96. http://dx.doi.org/10.1016/j.matpur.2007.12.002.
Texto completoZhang, Lu, Mingjiang Wang, Qiquan Zhang y Ming Liu. "Environmental Attention-Guided Branchy Neural Network for Speech Enhancement". Applied Sciences 10, n.º 3 (9 de febrero de 2020): 1167. http://dx.doi.org/10.3390/app10031167.
Texto completoLiu, Shi Lin y Zheng Pei. "Voice Activity Based on Noise Estimation in Noisy Environments". Applied Mechanics and Materials 239-240 (diciembre de 2012): 409–14. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.409.
Texto completoZhao, Li Hua y Xue Qing Xu. "Endpiont Detection in Noisy Speech Signal Using Teager Energy Entropy". Advanced Materials Research 926-930 (mayo de 2014): 1806–9. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1806.
Texto completoNidhyananthan, S. Selva, R. Shantha Selva Kumari y A. Arun Prakash. "A review on speech enhancement algorithms and why to combine with environment classification". International Journal of Modern Physics C 25, n.º 10 (11 de septiembre de 2014): 1430002. http://dx.doi.org/10.1142/s0129183114300024.
Texto completoTang, Qiang, De Xiang Zhang y Qing Yan. "Speech Stream Detection for Noisy Environments Based on Empirical Mode Decomposition". Applied Mechanics and Materials 397-400 (septiembre de 2013): 2239–42. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2239.
Texto completoTesis sobre el tema "Noisy environments"
Aschauer, Hans. "Quantum communication in noisy environments". Diss., lmu, 2005. http://nbn-resolving.de/urn:nbn:de:bvb:19-35882.
Texto completoJaisimha, M. Y. "Compound document retrieval in noisy environments /". Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/6007.
Texto completoParikh, Devangi Nikunj. "Improving the quality of speech in noisy environments". Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45889.
Texto completoNayfeh, Taysir H. "Multi-signal processing for voice recognition in noisy environments". Thesis, This resource online, 1991. http://scholar.lib.vt.edu/theses/available/etd-10222009-125021/.
Texto completoChen, Aimin. "Speech recognition and enhancement in noisy cellular mobile environments". Thesis, Brunel University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.251198.
Texto completoLaidler, Jonathan. "Modelling of glimpses for speech recognition in noisy environments". Thesis, University of Sheffield, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575364.
Texto completoJimenez, Blazquez Lara. "Mathematical Methods for Maritime Signal Curation in Noisy Environments". Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-43653.
Texto completoMahfoudia, Osama. "DVB-T based bistatic passive radars in noisy environments". Doctoral thesis, Universite Libre de Bruxelles, 2017. https://dipot.ulb.ac.be/dspace/bitstream/2013/258499/5/contratOM.pdf.
Texto completoDoctorat en Sciences de l'ingénieur et technologie
info:eu-repo/semantics/nonPublished
Gajic, Bojana. "Feature Extraction for Automatic Speech Recognition in Noisy Acoustic Environments". Doctoral thesis, Norwegian University of Science and Technology, Faculty of Information Technology, Mathematics and Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-441.
Texto completoThis thesis presents a study of alternative speech feature extraction methods aimed at increasing robustness of automatic speech recognition (ASR) against additive background noise.
Spectral peak positions of speech signals remain practically unchanged in presence of additive background noise. Thus, it was expected that emphasizing spectral peak positions in speech feature extraction would result in improved noise robustness of ASR systems. If frequency subbands are properly chosen, dominant subband frequencies can serve as reasonable estimates of spectral peak positions. Thus, different methods for incorporating dominant subband frequencies into speech feature vectors were investigated in this study.
To begin with, two earlier proposed feature extraction methods that utilize dominant subband frequency information were examined. The first one uses zero-crossing statistics of the subband signals to estimate dominant subband frequencies, while the second one uses subband spectral centroids. The methods were compared with the standard MFCC feature extraction method on two different recognition tasks in various background conditions. The first method was shown to improve ASR performance on both recognition tasks at sufficiently high noise levels. The improvement was, however, smaller on the more complex recognition task. The second method, on the other hand, led to some reduction in ASR performance in all testing conditions.
Next, a new method for incorporating subband spectral centroids into speech feature vectors was proposed, and was shown to be considerably more robust than the standard MFCC method on both ASR tasks. The main difference between the proposed method and the zero-crossing based method is in the way they utilize dominant subband frequency information. It was shown that the performance improvement due to the use of dominant subband frequency information was considerably larger for the proposed method than for the ZCPA method, especially on the more complex recognition task. Finally, the computational complexity of the proposed method is two orders of magnitude lower than that of the zero-crossing based method, and of the same order of magnitude as the standard MFCC method.
Wu, Mingyang. "Pitch tracking and speech enhancement in noisy and reverberant environments". Columbus, Ohio : Ohio State University, 2003. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1064341479.
Texto completoTitle from first page of PDF file. Document formatted into pages; contains xvi, 149 p.; also includes graphics. Includes abstract and vita. Advisor: DeLiang Wang, Dept. of Computer and Information Science. Includes bibliographical references (p. 136-149).
Libros sobre el tema "Noisy environments"
Buchleitner, Andreas y Klaus Hornberger, eds. Coherent Evolution in Noisy Environments. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7.
Texto completoRao, K. Sreenivasa y Sourjya Sarkar. Robust Speaker Recognition in Noisy Environments. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07130-5.
Texto completoGrimm, Simon. Directivity Based Multichannel Audio Signal Processing For Microphones in Noisy Acoustic Environments. Wiesbaden: Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25152-9.
Texto completoOntario. Ministry of the Environment. Environmental noise for environmental officers. [Toronto, ON: Ministry of the Environment], 1990.
Buscar texto completoR, Forrest M., ed. Noise in the military environment. London: Brassey's Defence Publishers, 1988.
Buscar texto completoEnvironmental noise survey: Guidance document. Johnstown Castle, Co. Wexford: Environmental Protection Agency, 2003.
Buscar texto completoOntario. Ministry of the Environment. Environmental Approvals and Land Use Planning Branch. Noise Assessment and Systems Support Unit. Introductory environmental noise: Course manual. S.l: s.n, 1988.
Buscar texto completoSass-Kortsak, Andrea M. Workplace noise and noise measurement: A basic guide. Hamilton, Ont: CCOHS, 1988.
Buscar texto completoFeather, Timothy D. Reducing environmental noise impacts: A USAREUR noise management program handbook. Ft. Belvoir, Va: U.S. Army Corps of Engineers, Water Resources Center, Institute for Water Resources, 1991.
Buscar texto completoOntario. Ministry of the Environment. Manual for environmental noise: Certificate course. [Toronto: Ministry of the Environment], 1997.
Buscar texto completoCapítulos de libros sobre el tema "Noisy environments"
Li, Junfeng, Masato Akagi y Yôiti Suzuki. "Multi-channel Noise Reduction in Noisy Environments". En Chinese Spoken Language Processing, 258–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11939993_30.
Texto completoBranke, Jürgen y Christian Schmidt. "Sequential Sampling in Noisy Environments". En Lecture Notes in Computer Science, 202–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30217-9_21.
Texto completoIngold, Gert-Ludwig. "Path Integrals and Their Application to Dissipative Quantum Systems". En Coherent Evolution in Noisy Environments, 1–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_1.
Texto completoEnglert, Berthold-Georg y Giovanna Morigi. "Five Lectures on Dissipative Master Equations". En Coherent Evolution in Noisy Environments, 55–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_2.
Texto completoWiesenfeld, Kurt, Thomas Wellens y Andreas Buchleitner. "Stochastic Resonance". En Coherent Evolution in Noisy Environments, 107–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_3.
Texto completoKümmerer, Burkhard. "Quantum Markov Processes". En Coherent Evolution in Noisy Environments, 139–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_4.
Texto completoStrunz, Walter T. "Decoherence in Quantum Physics". En Coherent Evolution in Noisy Environments, 199–233. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_5.
Texto completoAschauer, Hans y Hans J. Briegel. "Quantum Communication and Decoherence". En Coherent Evolution in Noisy Environments, 235–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_6.
Texto completoKeyl, Michael y Reinhard F. Werner. "How to Correct Small Quantum Errors". En Coherent Evolution in Noisy Environments, 263–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_7.
Texto completoCastro Hoyos, C., S. Murillo-Rendón y C. G. Castellanos-Dominguez. "Heart Sound Segmentation in Noisy Environments". En Natural and Artificial Models in Computation and Biology, 254–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38637-4_26.
Texto completoActas de conferencias sobre el tema "Noisy environments"
Zivic, Natasa. "Information security in noisy environments". En 2013 2nd Mediterranean Conference on Embedded Computing (MECO). IEEE, 2013. http://dx.doi.org/10.1109/meco.2013.6601385.
Texto completoGlenn, James. "Evaluation scheduling in noisy environments". En 2013 IEEE Symposium on Foundations of Computational Intelligence (FOCI). IEEE, 2013. http://dx.doi.org/10.1109/foci.2013.6602457.
Texto completoTrautmann, Heike, Jorn Mehnen y Boris Naujoks. "Pareto-dominance in noisy environments". En 2009 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2009. http://dx.doi.org/10.1109/cec.2009.4983338.
Texto completoFreire, Izabela y José Jr. "Gunshot detection in noisy environments". En VII International Telecommunications Symposium. Sociedade Brasileira de Telecomunicações, 2010. http://dx.doi.org/10.14209/sbrt.2010.92.
Texto completoHan, Zhongyi, Xian-Jin Gui, Chaoran Cui y Yilong Yin. "Towards Accurate and Robust Domain Adaptation under Noisy Environments". En Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/314.
Texto completoFookes, G., K. Hawkins y S. Barnes. "Data Integrity in Noisy Marine Environments". En 59th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 1997. http://dx.doi.org/10.3997/2214-4609-pdb.131.gen1997_b039.
Texto completoBartholomew, J. C. y G. E. Miller. "Voice control for noisy industrial environments". En Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 1988. http://dx.doi.org/10.1109/iembs.1988.95354.
Texto completoSocas, Rafael, Sebastian Dormido y Raquel Dormido. "Event-based controller for noisy environments". En 2014 Second World Conference on Complex Systems (WCCS). IEEE, 2014. http://dx.doi.org/10.1109/icocs.2014.7060977.
Texto completoDanahy, Ethan, Sos Agaian y Karen Panetta. "Detecting Edges in Noisy Multimedia Environments". En Eighth IEEE International Symposium on Multimedia (ISM'06). IEEE, 2006. http://dx.doi.org/10.1109/ism.2006.59.
Texto completoShi, Guangji y Changxue Ma. "Subband dereverberation algorithm for noisy environments". En 2012 IEEE International Conference on Emerging Signal Processing Applications (ESPA 2012). IEEE, 2012. http://dx.doi.org/10.1109/espa.2012.6152462.
Texto completoInformes sobre el tema "Noisy environments"
Dykman, Mark y Lora Billings. Controlling Interacting Systems in Noisy Environments. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2010. http://dx.doi.org/10.21236/ada532768.
Texto completoBillings, Lora y Mark Dykman. Controlling Interacting Systems in Noisy Environments. Fort Belvoir, VA: Defense Technical Information Center, enero de 2010. http://dx.doi.org/10.21236/ada518960.
Texto completoPlenio, Martin B. y Susana F. Huelga. Employing Noisy Environments to Support Quantum Information Processing. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2004. http://dx.doi.org/10.21236/ada426946.
Texto completoScrymgeour, David, Andrew N. Fisher, Calvin Chan, Jason M. Meeks, Daniel Robert Ward y Craig Y. Nakakura. Localized Electromagnetic Probing for Failure Analysis in Noisy Environments. Office of Scientific and Technical Information (OSTI), septiembre de 2019. http://dx.doi.org/10.2172/1569344.
Texto completoMontanari, Andrea. Distributed Matrix Completion: Applications to Cooperative Positioning in Noisy Environments. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2013. http://dx.doi.org/10.21236/ada602609.
Texto completoMontanari, Andrea. Distributed Matrix Completion: Application to Cooperative Positioning in Noisy Environments. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 2013. http://dx.doi.org/10.21236/ada595375.
Texto completoLyons, Damiam, Ronald Arkin, Stephen Fox, Shu Jiang, Prem Nirmal y Munzir Zafar. Characterizing Performance Guarantees for Multiagent, Real-Time Systems Operating in Noisy and Uncertain Environments. Fort Belvoir, VA: Defense Technical Information Center, enero de 2012. http://dx.doi.org/10.21236/ada558875.
Texto completoArrieta, Rudy, Connie Minish, Donal Myrick y Larry McGlothlin. Residual Noise Environment. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1993. http://dx.doi.org/10.21236/ada406626.
Texto completoWarren, Daniel E. Low Noise Measurements in an RF Environment. Fort Belvoir, VA: Defense Technical Information Center, agosto de 1993. http://dx.doi.org/10.21236/ada273813.
Texto completoCandy, J. V., S. N. Franco, M. C. Emmons, I. M. Lopez y R. A. Fellini. MODAL CLASSIFICATION: Processing and Anomaly Detection in a Noisy Vibrational Environment. Office of Scientific and Technical Information (OSTI), diciembre de 2016. http://dx.doi.org/10.2172/1497270.
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