Time-Domain Mapping with Convolution Networks for End-to-End Monaural Speech Separation

2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP) ◽

10.1109/icsip49896.2020.9339433 ◽

2020 ◽

Author(s):

Xuechao Wu ◽

Dongmei Li ◽

Chao Ma ◽

Xupeng Jia

Keyword(s):

Time Domain ◽

Speech Separation ◽

Domain Mapping ◽

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On End-to-end Multi-channel Time Domain Speech Separation in Reverberant Environments

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp40776.2020.9053833 ◽

2020 ◽

Author(s):

Jisi Zhang ◽

Catalin Zorila ◽

Rama Doddipatla ◽

Jon Barker

Keyword(s):

Time Domain ◽

Speech Separation ◽

Reverberant Environments ◽

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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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Distortion-Controlled Training for end-to-end Reverberant Speech Separation with Auxiliary Autoencoding Loss

2021 IEEE Spoken Language Technology Workshop (SLT) ◽

10.1109/slt48900.2021.9383494 ◽

2021 ◽

Author(s):

Yi Luo ◽

Cong Han ◽

Nima Mesgarani

Keyword(s):

Speech Separation ◽

Reverberant Speech

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Blind speech separation in time-domain using block-toeplitz structure of reconstructed signal matrices

10.21437/interspeech.2011-231 ◽

2011 ◽

Author(s):

Zbyněk Koldovský ◽

Jiří Málek ◽

Petr Tichavský

Keyword(s):

Time Domain ◽

Speech Separation ◽

Reconstructed Signal ◽

Block Toeplitz Structure ◽

Toeplitz Structure

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TaSNet: Time-Domain Audio Separation Network for Real-Time, Single-Channel Speech Separation

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2018.8462116 ◽

2018 ◽

Author(s):

Yi Luo ◽

Nima Mesgarani

Keyword(s):

Real Time ◽

Time Domain ◽

Single Channel ◽

Speech Separation

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Furcax: End-to-end Monaural Speech Separation Based on Deep Gated (De)convolutional Neural Networks with Adversarial Example Training

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2019.8682429 ◽

2019 ◽

Author(s):

Ziqiang Shi ◽

Huibin Lin ◽

Liu Liu ◽

Rujie Liu ◽

Shoji Hayakawa ◽

...

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Speech Separation ◽

Adversarial Example

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A Time-domain End-to-End Method for Sound Source Localization Using Multi-Task Learning

2019 IEEE 2nd International Conference on Information Communication and Signal Processing (ICICSP) ◽

10.1109/icicsp48821.2019.8958496 ◽

2019 ◽

Author(s):

Yankun Huang ◽

Xihong Wu ◽

Tianshu Qu

Keyword(s):

Source Localization ◽

Sound Source ◽

Time Domain ◽

Sound Source Localization ◽

Task Learning ◽

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Time Domain Audio Visual Speech Separation

2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) ◽

10.1109/asru46091.2019.9003983 ◽

2019 ◽

Author(s):

Jian Wu ◽

Yong Xu ◽

Shi-Xiong Zhang ◽

Lian-Wu Chen ◽

Meng Yu ◽

...

Keyword(s):

Time Domain ◽

Visual Speech ◽

Speech Separation

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Parrotron: An End-to-End Speech-to-Speech Conversion Model and its Applications to Hearing-Impaired Speech and Speech Separation

10.21437/interspeech.2019-1789 ◽

2019 ◽

Author(s):

Fadi Biadsy ◽

Ron J. Weiss ◽

Pedro J. Moreno ◽

Dimitri Kanvesky ◽

Ye Jia

Keyword(s):

Hearing Impaired ◽

Speech Separation ◽

Conversion Model ◽

Impaired Speech

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Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation

10.21437/interspeech.2020-2205 ◽

2020 ◽

Author(s):

Jingjing Chen ◽

Qirong Mao ◽

Dong Liu

Keyword(s):

Context Aware ◽

Speech Separation ◽

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