Results 11 to 20 of about 35,961 (259)
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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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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Acoustic Imaging-Based UAV Sound Source Separation Technology [PDF]
E3S Web of ConferencesTo address the key technical challenge of accurately separating and localizing noise sources from the propellers of quadrotor UAVs, this paper innovatively proposes an acoustic imaging method based on a 64-channel multi-arm logarithmic spiral array ...
Wang Lingzhi, He Tianlun, Chen Da
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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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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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IEEE Access, 2021 The degenerate unmixing estimation technique (DUET), enables facile sound source separation through two signal mixtures. However, in numerous practical situations, identifying peaks in DUET histograms is difficult, which in turn prevents effective source
Kuang-Yow Lian, Jia-Hsin Lin
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A multichannel learning-based approach for sound source separation in reverberant environments
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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Off-Screen Sound Separation Based on Audio-visual Pre-training Using Binaural Audio
Sensors, 2023 This study proposes a novel off-screen sound separation method based on audio-visual pre-training. In the field of audio-visual analysis, researchers have leveraged visual information for audio manipulation tasks, such as sound source separation ...
Masaki Yoshida +3 more
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