Results 11 to 20 of about 34,525 (261)
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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Joint Sound Source Separation and Speaker Recognition [PDF]
Interspeech 2016, 2016 Non-negative Matrix Factorization (NMF) has already been applied to learn speaker characterizations from single or non-simultaneous speech for speaker recognition applications. It is also known for its good performance in (blind) source separation for simultaneous speech.
Zegers, Jeroen, Van hamme, Hugo
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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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Sound field separation method for motorcycle coherent sound sources [PDF]
Vibroengineering Procedia, 2020 To solve the problem of main noise sources of motorcycles running at high speed, especially restoring the free sound field information of the target sound source in the non-free sound field, direct separation method with single holographic surface is proposed.
Jin Mao +4 more
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Explicit-memory multiresolution adaptive framework for speech and music separation
EURASIP Journal on Audio, Speech, and Music Processing, 2023 The human auditory system employs a number of principles to facilitate the selection of perceptually separated streams from a complex sound mixture. The brain leverages multi-scale redundant representations of the input and uses memory (or priors) to ...
Ashwin Bellur +2 more
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Adaptive Speech Separation Based on Beamforming and Frequency Domain-Independent Component Analysis
Applied Sciences, 2020 Voice signals acquired by a microphone array often include considerable noise and mutual interference, seriously degrading the accuracy and speed of speech separation.
Ke Zhang, Yangjie Wei, Dan Wu, Yi Wang
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Direction specific ambisonics source separation with end-to-end deep learning
Acta Acustica, 2023 Ambisonics is a scene-based spatial audio format that has several useful features compared to object-based formats, such as efficient whole scene rotation and versatility.
Lluís Francesc +3 more
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Towards Robust Multiple Blind Source Localization Using Source Separation and Beamforming
Sensors, 2021 Multiple blind sound source localization is the key technology for a myriad of applications such as robotic navigation and indoor localization. However, existing solutions can only locate a few sound sources simultaneously due to the limitation imposed ...
Henglin Pu +5 more
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Weakly-Supervised Audio-Visual Sound Source Detection and Separation [PDF]
2021 IEEE International Conference on Multimedia and Expo (ICME), 2021 4 figures, 6 ...
Rahman, Tanzila, Sigal, Leonid
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Applied Sciences, 2022 Synchronistical localization, separation, and reconstruction for multiple sound sources are usually necessary in various situations, such as in conference rooms, living rooms, and supermarkets.
Long Chen +4 more
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