Monaural Speech Separation using Source-Adapted Models

2007 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics ◽

10.1109/aspaa.2007.4393039 ◽

2007 ◽

Author(s):

Ron J. Weiss ◽

Daniel P. W. Ellis

Keyword(s):

Speech Separation

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Binaural Reverberant Speech Separation Based on Deep Neural Networks

10.21437/interspeech.2017-297 ◽

2017 ◽

Author(s):

Xueliang Zhang ◽

DeLiang Wang

Keyword(s):

Neural Networks ◽

Deep Neural Networks ◽

Speech Separation ◽

Reverberant Speech

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Variational Recurrent Neural Networks for Speech Separation

10.21437/interspeech.2017-832 ◽

2017 ◽

Author(s):

Jen-Tzung Chien ◽

Kuan-Ting Kuo

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Speech Separation

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Multi-talker Speech Separation Based on Permutation Invariant Training and Beamforming

10.21437/interspeech.2018-1739 ◽

2018 ◽

Author(s):

Lu Yin ◽

Ziteng Wang ◽

Risheng Xia ◽

Junfeng Li ◽

Yonghong Yan

Keyword(s):

Speech Separation

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Influence of Speaker-Specific Parameters on Speech Separation Systems

10.21437/interspeech.2019-2459 ◽

2019 ◽

Author(s):

David Ditter ◽

Timo Gerkmann

Keyword(s):

Speech Separation ◽

Separation Systems

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Speech Separation Using Independent Vector Analysis with an Amplitude Variable Gaussian Mixture Model

10.21437/interspeech.2019-2076 ◽

2019 ◽

Author(s):

Zhaoyi Gu ◽

Jing Lu ◽

Kai Chen

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Vector Analysis ◽

Speech Separation ◽

Independent Vector ◽

Independent Vector Analysis

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Listen, Watch and Understand at the Cocktail Party: Audio-Visual-Contextual Speech Separation

10.21437/interspeech.2020-2028 ◽

2020 ◽

Author(s):

Chenda Li ◽

Yanmin Qian

Keyword(s):

Speech Separation ◽

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Effects of Base-Frequency and Spectral Envelope on Deep-Learning Speech Separation and Recognition Models

10.21437/interspeech.2019-1715 ◽

2019 ◽

Author(s):

J. Hui ◽

Y. Wei ◽

S.T. Chen ◽

R.H.Y. So

Keyword(s):

Deep Learning ◽

Spectral Envelope ◽

Speech Separation ◽

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Deep Attention Gated Dilated Temporal Convolutional Networks with Intra-Parallel Convolutional Modules for End-to-End Monaural Speech Separation

10.21437/interspeech.2019-1373 ◽

2019 ◽

Author(s):

Ziqiang Shi ◽

Huibin Lin ◽

Liu Liu ◽

Rujie Liu ◽

Jiqing Han ◽

...

Keyword(s):

Speech Separation ◽

Convolutional Networks ◽

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The PASCAL CHiME speech separation and recognition challenge

Computer Speech & Language ◽

10.1016/j.csl.2012.10.004 ◽

2013 ◽

Vol 27 (3) ◽

pp. 621-633 ◽

Author(s):

Jon Barker ◽

Emmanuel Vincent ◽

Ning Ma ◽

Heidi Christensen ◽

Phil Green

Keyword(s):

Speech Separation

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Integration of Variational Autoencoder and Spatial Clustering for Adaptive Multi-Channel Neural Speech Separation

2021 IEEE Spoken Language Technology Workshop (SLT) ◽

10.1109/slt48900.2021.9383612 ◽

2021 ◽

Author(s):

Katerina Zmolikova ◽

Marc Delcroix ◽

Lukas Burget ◽

Tomohiro Nakatani ◽

Jan Honza Cernocky

Keyword(s):

Spatial Clustering ◽

Speech Separation ◽

Variational Autoencoder

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