Academic literature on the topic 'Auditory source separation'
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Journal articles on the topic "Auditory source separation"
Li, Han, Kean Chen, Lei Wang, Jianben Liu, Baoquan Wan, and Bing Zhou. "Sound Source Separation Mechanisms of Different Deep Networks Explained from the Perspective of Auditory Perception." Applied Sciences 12, no. 2 (January 14, 2022): 832. http://dx.doi.org/10.3390/app12020832.
Full textSasaki, Yoko, Saori Masunaga, Simon Thompson, Satoshi Kagami, and Hiroshi Mizoguchi. "Sound Localization and Separation for Mobile Robot Tele-Operation by Tri-Concentric Microphone Array." Journal of Robotics and Mechatronics 19, no. 3 (June 20, 2007): 281–89. http://dx.doi.org/10.20965/jrm.2007.p0281.
Full textDoll, Theodore J., Thomas E. Hanna, and Joseph S. Russotti. "Masking in Three-Dimensional Auditory Displays." Human Factors: The Journal of the Human Factors and Ergonomics Society 34, no. 3 (June 1992): 255–65. http://dx.doi.org/10.1177/001872089203400301.
Full textLi, Han, Kean Chen, Rong Li, Jianben Liu, Baoquan Wan, and Bing Zhou. "Auditory-like simultaneous separation mechanisms spontaneously learned by a deep source separation network." Applied Acoustics 188 (January 2022): 108591. http://dx.doi.org/10.1016/j.apacoust.2021.108591.
Full textDrake, Laura, and Janet Rutledge. "Auditory scene analysis‐constrained array processing for sound source separation." Journal of the Acoustical Society of America 101, no. 5 (May 1997): 3106. http://dx.doi.org/10.1121/1.418868.
Full textFarley, Brandon J., and Arnaud J. Noreña. "Membrane potential dynamics of populations of cortical neurons during auditory streaming." Journal of Neurophysiology 114, no. 4 (October 2015): 2418–30. http://dx.doi.org/10.1152/jn.00545.2015.
Full textDrake, Laura A., Janet C. Rutledge, and Aggelos Katsaggelos. "Computational auditory scene analysis‐constrained array processing for sound source separation." Journal of the Acoustical Society of America 106, no. 4 (October 1999): 2238. http://dx.doi.org/10.1121/1.427622.
Full textZakeri, Sahar, and Masoud Geravanchizadeh. "Supervised binaural source separation using auditory attention detection in realistic scenarios." Applied Acoustics 175 (April 2021): 107826. http://dx.doi.org/10.1016/j.apacoust.2020.107826.
Full textMcElveen, J. K., Leonid Krasny, and Scott Nordlund. "Applying matched field array processing and machine learning to computational auditory scene analysis and source separation challenges." Journal of the Acoustical Society of America 151, no. 4 (April 2022): A232. http://dx.doi.org/10.1121/10.0011162.
Full textOtsuka, Takuma, Katsuhiko Ishiguro, Hiroshi Sawada, and Hiroshi Okuno. "Bayesian Unification of Sound Source Localization and Separation with Permutation Resolution." Proceedings of the AAAI Conference on Artificial Intelligence 26, no. 1 (September 20, 2021): 2038–45. http://dx.doi.org/10.1609/aaai.v26i1.8376.
Full textDissertations / Theses on the topic "Auditory source separation"
Beauvois, Michael W. "A computer model of auditory stream segregation." Thesis, Loughborough University, 1991. https://dspace.lboro.ac.uk/2134/33091.
Full textLeech, Stuart Matthew. "The effect on audiovisual speech perception of auditory and visual source separation." Thesis, University of Sussex, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.271770.
Full textMelih, 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.
Full textMelih, Kathy. "Audio Source Separation Using Perceptual Principles for Content-Based Coding and Information Management." Thesis, Griffith University, 2004. http://hdl.handle.net/10072/366279.
Full textThesis (PhD Doctorate)
Doctor of Philosophy (PhD)
School of Information Technology
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Belzner, Katharine Ann. "DPOAE two-source separation in adult Japanese quail (Coturnix coturnix japonica) /." Full-text of dissertation on the Internet (891.53 KB), 2010. http://www.lib.jmu.edu/general/etd/2010/doctorate/belzneka/belzneka_doctorate_04-19-2010_02.pdf.
Full textDeleforge, Antoine. "Acoustic Space Mapping : A Machine Learning Approach to Sound Source Separation and Localization." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENM033/document.
Full textIn this thesis, we address the long-studied problem of binaural (two microphones) sound source separation and localization through supervised leaning. To achieve this, we develop a new paradigm referred as acoustic space mapping, at the crossroads of binaural perception, robot hearing, audio signal processing and machine learning. The proposed approach consists in learning a link between auditory cues perceived by the system and the emitting sound source position in another modality of the system, such as the visual space or the motor space. We propose new experimental protocols to automatically gather large training sets that associates such data. Obtained datasets are then used to reveal some fundamental intrinsic properties of acoustic spaces and lead to the development of a general family of probabilistic models for locally-linear high- to low-dimensional space mapping. We show that these models unify several existing regression and dimensionality reduction techniques, while encompassing a large number of new models that generalize previous ones. The properties and inference of these models are thoroughly detailed, and the prominent advantage of proposed methods with respect to state-of-the-art techniques is established on different space mapping applications, beyond the scope of auditory scene analysis. We then show how the proposed methods can be probabilistically extended to tackle the long-known cocktail party problem, i.e., accurately localizing one or several sound sources emitting at the same time in a real-word environment, and separate the mixed signals. We show that resulting techniques perform these tasks with an unequaled accuracy. This demonstrates the important role of learning and puts forwards the acoustic space mapping paradigm as a promising tool for robustly addressing the most challenging problems in computational binaural audition
Joseph, Joby. "Why only two ears? Some indicators from the study of source separation using two sensors." Thesis, Indian Institute of Science, 2004. http://hdl.handle.net/2005/55.
Full textArdam, Nagaraju. "Study of ASA Algorithms." Thesis, Linköpings universitet, Elektroniksystem, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70996.
Full textHearing-Aid
Otsuka, Takuma. "Bayesian Microphone Array Processing." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188871.
Full text0048
新制・課程博士
博士(情報学)
甲第18412号
情博第527号
新制||情||93(附属図書館)
31270
京都大学大学院情報学研究科知能情報学専攻
(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
学位規則第4条第1項該当
Chen, Zhuo. "Single Channel auditory source separation with neural network." Thesis, 2017. https://doi.org/10.7916/D8W09C8N.
Full textBook chapters on the topic "Auditory source separation"
Hummersone, Christopher, Toby Stokes, and Tim Brookes. "On the Ideal Ratio Mask as the Goal of Computational Auditory Scene Analysis." In Blind Source Separation, 349–68. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55016-4_12.
Full textDuong, Ngoc Q. K., Emmanuel Vincent, and Rémi Gribonval. "Under-Determined Reverberant Audio Source Separation Using Local Observed Covariance and Auditory-Motivated Time-Frequency Representation." In Latent Variable Analysis and Signal Separation, 73–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15995-4_10.
Full textHamada, Nozomu, and Ning Ding. "Source Separation and DOA Estimation for Underdetermined Auditory Scene." In Soundscape Semiotics - Localisation and Categorisation. InTech, 2014. http://dx.doi.org/10.5772/56013.
Full textConference papers on the topic "Auditory source separation"
Li, Han, Kean Chen, and Bernhard U. Seeber. "Auditory Filterbanks Benefit Universal Sound Source Separation." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9414105.
Full textKim, Chanwoo, Kshitiz Kumar, and Richard M. Stern. "Binaural sound source separation motivated by auditory processing." In ICASSP 2011 - 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2011. http://dx.doi.org/10.1109/icassp.2011.5947497.
Full textFaller, Kenneth John, Jason Riddley, and Elijah Grubbs. "Automatic blind source separation of speech sources in an auditory scene." In 2017 51st Asilomar Conference on Signals, Systems, and Computers. IEEE, 2017. http://dx.doi.org/10.1109/acssc.2017.8335176.
Full textKong, Qiuqiang, Yuxuan Wang, Xuchen Song, Yin Cao, Wenwu Wang, and Mark D. Plumbley. "Source Separation with Weakly Labelled Data: an Approach to Computational Auditory Scene Analysis." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053396.
Full textHussain, Abrar, Kalaivani Chellappan, and Siti Zamratol Mai-Sarah Mukari. "Evaluation of source separation using projection pursuit algorithm for computer-based auditory training system." In 2017 7th IEEE International Conference on System Engineering and Technology (ICSET). IEEE, 2017. http://dx.doi.org/10.1109/icsengt.2017.8123436.
Full textCantisani, Giorgia, Slim Essid, and Gael Richard. "Neuro-Steered Music Source Separation With EEG-Based Auditory Attention Decoding And Contrastive-NMF." In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2021. http://dx.doi.org/10.1109/icassp39728.2021.9413841.
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