Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception [PDF]
NeuroImage, 2020 Hearing-impaired people often struggle to follow the speech stream of an individual talker in noisy environments. Recent studies show that the brain tracks attended speech and that the attended talker can be decoded from neural data on a single-trial ...
Enea Ceolini +8 more
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A Facial Feature and Lip Movement Enhanced Audio-Visual Speech Separation Model [PDF]
Sensors, 2023 The cocktail party problem can be more effectively addressed by leveraging the speaker’s visual and audio information. This paper proposes a method to improve the audio’s separation using two visual cues: facial features and lip movement.
Guizhu Li +4 more
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A convolutional recurrent neural network with attention framework for speech separation in monaural recordings [PDF]
Scientific Reports, 2021 Most speech separation studies in monaural channel use only a single type of network, and the separation effect is typically not satisfactory, posing difficulties for high quality speech separation.
Chao Sun +7 more
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Leveraging spatial cues from cochlear implant microphones to efficiently enhance speech separation in naturalistic listening scenes [PDF]
Scientific ReportsDespite the success of speech separation approaches for dry (non-reverb) speech mixtures, speech separation in naturalistic, spatial, and reverberant acoustic environments remains challenging.
Feyisayo Olalere +5 more
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Deflationary Extraction Transformer for Speech Separation with Unknown Number of Talkers [PDF]
SensorsMost speech separation techniques require knowing the number of talkers mixed in an input, which is not always available in real situations. To address this problem, we present a novel speech separation method that automatically finds the number of ...
Sangwon Lee, Han-Gyu Kim, Gil-Jin Jang
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Dual-Channel Cosine Function Based ITD Estimation for Robust Speech Separation [PDF]
Sensors, 2017 In speech separation tasks, many separation methods have the limitation that the microphones are closely spaced, which means that these methods are unprevailing for phase wrap-around.
Xuliang Li +3 more
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Supervised Speech Separation Based on Deep Learning: An Overview [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2018 Jitong Chen, DeLiang Wang
exaly +2 more sources
Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2019 Nima Mesgarani, Yi Luo
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Complex Ratio Masking for Monaural Speech Separation [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2016 DeLiang Wang +2 more
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A Deep Ensemble Learning Method for Monaural Speech Separation [PDF]
IEEE/ACM Transactions on Audio Speech and Language Processing, 2016 Xiao-Lei Zhang, DeLiang Wang
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