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Neural correlates of the perception of sound source separation. [PDF]
Adv Exp Med Biol, 2013 As two sound sources become spatially separated in the horizontal plane, the binaural cues used for sound localization become distorted from their values for each sound in isolation. Because firing rates of most neurons in the inferior colliculus (IC) are sensitive to these binaural cues, we hypothesized that these neurons would be sensitive to source ...
Day ML, Delgutte B.
europepmc +4 more sources
Active Audio-Visual Separation of Dynamic Sound Sources [PDF]
, 2022 We explore active audio-visual separation for dynamic sound sources, where an embodied agent moves intelligently in a 3D environment to continuously isolate the time-varying audio stream being emitted by an object of interest. The agent hears a mixed stream of multiple audio sources (e.g., multiple people conversing and a band playing music at a noisy ...
Sagnik Majumder, Kristen Grauman
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A Computational Auditory Scene Analysis-Enhanced Beamforming Approach for Sound Source Separation [PDF]
EURASIP Journal on Advances in Signal Processing, 2009 Hearing aid users have difficulty hearing target signals, such as speech, in the presence of competing signals or noise. Most solutions proposed to date enhance or extract target signals from background noise and interference based on either location ...
L. A. Drake +3 more
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Neural network-based selective noise control with sound source separation
Nihon Kikai Gakkai ronbunshu, 2023 In noisy environments such as factories or construction sites, noise should be reduced and the speech of workers moving in the environments should be recognized.
Takumi SUNOHARA, Toshihiko SHIRAISHI
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, 2011 This is the author's accepted pre-print of the article, first published as G. Evangelista, S. Marchand, M. D. Plumbley and E. Vincent. Sound source separation. In U. Zölzer (ed.), DAFX: Digital Audio Effects, 2nd edition, Chapter 14, pp. 551-588.
Evangelista, G +3 more
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Applied Sciences, 2022 Thanks to the development of deep learning, various sound source separation networks have been proposed and made significant progress. However, the study on the underlying separation mechanisms is still in its infancy.
Han Li +5 more
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A Variational EM Algorithm for the Separation of Moving Sound Sources [PDF]
2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015 International audienceThis paper addresses the problem of separation of moving sound sources. We propose a probabilistic framework based on the complex Gaussian model combined with non-negative matrix factorization.
Alameda-Pineda, Xavier +4 more
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Research on Deep Sound Source Separation
2021 13th International Conference on Machine Learning and Computing, 2021 The cocktail party effect is a fundamental problem in sound source separation, and many researchers have worked to solve this problem. In recent years, the most popular algorithms to solve the problem of sound source separation are Support Vector Machine (SVM), Gaussian Mixture Model (GMM), non-negative matrix factorization (NMF), and Variational ...
Yunuo Yang, Honghui Li
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A multichannel learning-based approach for sound source separation in reverberant environments [PDF]
EURASIP Journal on Audio, Speech, and Music Processing, 2021 In this paper, a multichannel learning-based network is proposed for sound source separation in reverberant field. The network can be divided into two parts according to the training strategies.
You-Siang Chen +2 more
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Speech and music source separation for cochlear implant users: front-end and end-to-end approach [PDF]
Frontiers in NeuroscienceA cochlear implant (CI) is a surgically implanted neuroprosthetic device designed to restore auditory perception in individuals with profound sensorineural hearing loss.
Sina Tahmasebi +4 more
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