Academic literature on the topic 'Noisy environments'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Noisy environments.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Noisy environments"
Qian, Chao, Yang Yu, and Zhi-Hua Zhou. "Analyzing Evolutionary Optimization in Noisy Environments." Evolutionary Computation 26, no. 1 (March 2018): 1–41. http://dx.doi.org/10.1162/evco_a_00170.
Full textSUNITHA, P., V. SAILAJA, and B. VASANTHA LAKSHMI. "NOISE ROBUST SPEECH RECOGNITION UNDER NOISY ENVIRONMENTS." i-manager’s Journal on Pattern Recognition 7, no. 2 (2020): 23. http://dx.doi.org/10.26634/jpr.7.2.18094.
Full textPhung, Trung-Nghia, Huy-Khoi Do, Van-Tao Nguyen, and Quang-Vinh Thai. "Eigennoise Speech Recovery in Adverse Environments with Joint Compensation of Additive and Convolutive Noise." Advances in Acoustics and Vibration 2015 (November 3, 2015): 1–9. http://dx.doi.org/10.1155/2015/170183.
Full textChen, Bin, Jinbao Long, Hongtai Xie, Chenyang Li, Luokan Chen, Bonan Jiang, and Shuai Chen. "Portable atomic gravimeter operating in noisy urban environments." Chinese Optics Letters 18, no. 9 (2020): 090201. http://dx.doi.org/10.3788/col202018.090201.
Full textCucker, Felipe, and Ernesto Mordecki. "Flocking in noisy environments." Journal de Mathématiques Pures et Appliquées 89, no. 3 (March 2008): 278–96. http://dx.doi.org/10.1016/j.matpur.2007.12.002.
Full textZhang, Lu, Mingjiang Wang, Qiquan Zhang, and Ming Liu. "Environmental Attention-Guided Branchy Neural Network for Speech Enhancement." Applied Sciences 10, no. 3 (February 9, 2020): 1167. http://dx.doi.org/10.3390/app10031167.
Full textLiu, Shi Lin, and Zheng Pei. "Voice Activity Based on Noise Estimation in Noisy Environments." Applied Mechanics and Materials 239-240 (December 2012): 409–14. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.409.
Full textZhao, Li Hua, and Xue Qing Xu. "Endpiont Detection in Noisy Speech Signal Using Teager Energy Entropy." Advanced Materials Research 926-930 (May 2014): 1806–9. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1806.
Full textNidhyananthan, S. Selva, R. Shantha Selva Kumari, and A. Arun Prakash. "A review on speech enhancement algorithms and why to combine with environment classification." International Journal of Modern Physics C 25, no. 10 (September 11, 2014): 1430002. http://dx.doi.org/10.1142/s0129183114300024.
Full textTang, Qiang, De Xiang Zhang, and Qing Yan. "Speech Stream Detection for Noisy Environments Based on Empirical Mode Decomposition." Applied Mechanics and Materials 397-400 (September 2013): 2239–42. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.2239.
Full textDissertations / Theses on the topic "Noisy environments"
Aschauer, Hans. "Quantum communication in noisy environments." Diss., lmu, 2005. http://nbn-resolving.de/urn:nbn:de:bvb:19-35882.
Full textJaisimha, M. Y. "Compound document retrieval in noisy environments /." Thesis, Connect to this title online; UW restricted, 1996. http://hdl.handle.net/1773/6007.
Full textParikh, Devangi Nikunj. "Improving the quality of speech in noisy environments." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/45889.
Full textNayfeh, 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/.
Full textChen, 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.
Full textLaidler, 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.
Full textJimenez, 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.
Full textMahfoudia, 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.
Full textDoctorat 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.
Full textThis 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.
Full textTitle 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).
Books on the topic "Noisy environments"
Buchleitner, Andreas, and Klaus Hornberger, eds. Coherent Evolution in Noisy Environments. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7.
Full textRao, K. Sreenivasa, and Sourjya Sarkar. Robust Speaker Recognition in Noisy Environments. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07130-5.
Full textGrimm, 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.
Full textOntario. Ministry of the Environment. Environmental noise for environmental officers. [Toronto, ON: Ministry of the Environment], 1990.
Find full textR, Forrest M., ed. Noise in the military environment. London: Brassey's Defence Publishers, 1988.
Find full textEnvironmental noise survey: Guidance document. Johnstown Castle, Co. Wexford: Environmental Protection Agency, 2003.
Find full textOntario. 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.
Find full textSass-Kortsak, Andrea M. Workplace noise and noise measurement: A basic guide. Hamilton, Ont: CCOHS, 1988.
Find full textFeather, 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.
Find full textOntario. Ministry of the Environment. Manual for environmental noise: Certificate course. [Toronto: Ministry of the Environment], 1997.
Find full textBook chapters on the topic "Noisy environments"
Li, Junfeng, Masato Akagi, and Yôiti Suzuki. "Multi-channel Noise Reduction in Noisy Environments." In Chinese Spoken Language Processing, 258–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11939993_30.
Full textBranke, Jürgen, and Christian Schmidt. "Sequential Sampling in Noisy Environments." In 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.
Full textIngold, Gert-Ludwig. "Path Integrals and Their Application to Dissipative Quantum Systems." In Coherent Evolution in Noisy Environments, 1–53. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_1.
Full textEnglert, Berthold-Georg, and Giovanna Morigi. "Five Lectures on Dissipative Master Equations." In Coherent Evolution in Noisy Environments, 55–106. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_2.
Full textWiesenfeld, Kurt, Thomas Wellens, and Andreas Buchleitner. "Stochastic Resonance." In Coherent Evolution in Noisy Environments, 107–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_3.
Full textKümmerer, Burkhard. "Quantum Markov Processes." In Coherent Evolution in Noisy Environments, 139–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_4.
Full textStrunz, Walter T. "Decoherence in Quantum Physics." In Coherent Evolution in Noisy Environments, 199–233. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_5.
Full textAschauer, Hans, and Hans J. Briegel. "Quantum Communication and Decoherence." In Coherent Evolution in Noisy Environments, 235–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_6.
Full textKeyl, Michael, and Reinhard F. Werner. "How to Correct Small Quantum Errors." In Coherent Evolution in Noisy Environments, 263–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45855-7_7.
Full textCastro Hoyos, C., S. Murillo-Rendón, and C. G. Castellanos-Dominguez. "Heart Sound Segmentation in Noisy Environments." In 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.
Full textConference papers on the topic "Noisy environments"
Zivic, Natasa. "Information security in noisy environments." In 2013 2nd Mediterranean Conference on Embedded Computing (MECO). IEEE, 2013. http://dx.doi.org/10.1109/meco.2013.6601385.
Full textGlenn, James. "Evaluation scheduling in noisy environments." In 2013 IEEE Symposium on Foundations of Computational Intelligence (FOCI). IEEE, 2013. http://dx.doi.org/10.1109/foci.2013.6602457.
Full textTrautmann, Heike, Jorn Mehnen, and Boris Naujoks. "Pareto-dominance in noisy environments." In 2009 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2009. http://dx.doi.org/10.1109/cec.2009.4983338.
Full textFreire, Izabela, and José Jr. "Gunshot detection in noisy environments." In VII International Telecommunications Symposium. Sociedade Brasileira de Telecomunicações, 2010. http://dx.doi.org/10.14209/sbrt.2010.92.
Full textHan, Zhongyi, Xian-Jin Gui, Chaoran Cui, and Yilong Yin. "Towards Accurate and Robust Domain Adaptation under Noisy Environments." In 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.
Full textFookes, G., K. Hawkins, and S. Barnes. "Data Integrity in Noisy Marine Environments." In 59th EAGE Conference & Exhibition. European Association of Geoscientists & Engineers, 1997. http://dx.doi.org/10.3997/2214-4609-pdb.131.gen1997_b039.
Full textBartholomew, J. C., and G. E. Miller. "Voice control for noisy industrial environments." In 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.
Full textSocas, Rafael, Sebastian Dormido, and Raquel Dormido. "Event-based controller for noisy environments." In 2014 Second World Conference on Complex Systems (WCCS). IEEE, 2014. http://dx.doi.org/10.1109/icocs.2014.7060977.
Full textDanahy, Ethan, Sos Agaian, and Karen Panetta. "Detecting Edges in Noisy Multimedia Environments." In Eighth IEEE International Symposium on Multimedia (ISM'06). IEEE, 2006. http://dx.doi.org/10.1109/ism.2006.59.
Full textShi, Guangji, and Changxue Ma. "Subband dereverberation algorithm for noisy environments." In 2012 IEEE International Conference on Emerging Signal Processing Applications (ESPA 2012). IEEE, 2012. http://dx.doi.org/10.1109/espa.2012.6152462.
Full textReports on the topic "Noisy environments"
Dykman, Mark, and Lora Billings. Controlling Interacting Systems in Noisy Environments. Fort Belvoir, VA: Defense Technical Information Center, October 2010. http://dx.doi.org/10.21236/ada532768.
Full textBillings, Lora, and Mark Dykman. Controlling Interacting Systems in Noisy Environments. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada518960.
Full textPlenio, Martin B., and Susana F. Huelga. Employing Noisy Environments to Support Quantum Information Processing. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada426946.
Full textScrymgeour, David, Andrew N. Fisher, Calvin Chan, Jason M. Meeks, Daniel Robert Ward, and Craig Y. Nakakura. Localized Electromagnetic Probing for Failure Analysis in Noisy Environments. Office of Scientific and Technical Information (OSTI), September 2019. http://dx.doi.org/10.2172/1569344.
Full textMontanari, Andrea. Distributed Matrix Completion: Applications to Cooperative Positioning in Noisy Environments. Fort Belvoir, VA: Defense Technical Information Center, December 2013. http://dx.doi.org/10.21236/ada602609.
Full textMontanari, Andrea. Distributed Matrix Completion: Application to Cooperative Positioning in Noisy Environments. Fort Belvoir, VA: Defense Technical Information Center, December 2013. http://dx.doi.org/10.21236/ada595375.
Full textLyons, Damiam, Ronald Arkin, Stephen Fox, Shu Jiang, Prem Nirmal, and Munzir Zafar. Characterizing Performance Guarantees for Multiagent, Real-Time Systems Operating in Noisy and Uncertain Environments. Fort Belvoir, VA: Defense Technical Information Center, January 2012. http://dx.doi.org/10.21236/ada558875.
Full textArrieta, Rudy, Connie Minish, Donal Myrick, and Larry McGlothlin. Residual Noise Environment. Fort Belvoir, VA: Defense Technical Information Center, December 1993. http://dx.doi.org/10.21236/ada406626.
Full textWarren, Daniel E. Low Noise Measurements in an RF Environment. Fort Belvoir, VA: Defense Technical Information Center, August 1993. http://dx.doi.org/10.21236/ada273813.
Full textCandy, J. V., S. N. Franco, M. C. Emmons, I. M. Lopez, and R. A. Fellini. MODAL CLASSIFICATION: Processing and Anomaly Detection in a Noisy Vibrational Environment. Office of Scientific and Technical Information (OSTI), December 2016. http://dx.doi.org/10.2172/1497270.
Full text