End-to-End Multi-Channel Speech Enhancement Using Inter-Channel Time-Restricted Attention on Raw Waveform

Mapping Intimacies ◽

10.21437/interspeech.2019-2397 ◽

2019 ◽

Author(s):

Hyeonseung Lee ◽

Hyung Yong Kim ◽

Woo Hyun Kang ◽

Jeunghun Kim ◽

Nam Soo Kim

Keyword(s):

Speech Enhancement ◽

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Neural Noise Embedding for End-To-End Speech Enhancement with Conditional Layer Normalization

ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp39728.2021.9413931 ◽

2021 ◽

Author(s):

Zhihui Zhang ◽

Xiaoqi Li ◽

Yaxing Li ◽

Yuanjie Dong ◽

Dan Wang ◽

...

Keyword(s):

Speech Enhancement ◽

Neural Noise ◽

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Speech Enhancement Using End-to-End Speech Recognition Objectives

2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) ◽

10.1109/waspaa.2019.8937250 ◽

2019 ◽

Author(s):

Aswin Shanmugam Subramanian ◽

Xiaofei Wang ◽

Murali Karthick Baskar ◽

Shinji Watanabe ◽

Toru Taniguchi ◽

...

Keyword(s):

Speech Recognition ◽

Speech Enhancement ◽

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A Convolutional Network with Multi-Scale and Attention Mechanisms for End-to-End Single-Channel Speech Enhancement

IEEE Signal Processing Letters ◽

10.1109/lsp.2021.3093859 ◽

2021 ◽

pp. 1-1

Author(s):

Xiang Xiaoxiao ◽

Zhang Xiaojuan ◽

Chen Haozhe

Keyword(s):

Speech Enhancement ◽

Single Channel ◽

Convolutional Network ◽

Multi Scale ◽

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End-to-End Speech Enhancement Using Fully Convolutional Networks with Skip Connections

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) ◽

10.1109/apsipaasc47483.2019.9023159 ◽

2019 ◽

Author(s):

Dujuan Wang ◽

Changchun Bao

Keyword(s):

Speech Enhancement ◽

Convolutional Networks ◽

Fully Convolutional Networks ◽

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End-to-end Speech Enhancement Using Self-Attention Generative Adversarial Networks

10.1109/iscipt53667.2021.00154 ◽

2021 ◽

Author(s):

Zhonghui Cao ◽

Zhihua Huang

Keyword(s):

Speech Enhancement ◽

Generative Adversarial Networks ◽

Adversarial Networks ◽

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FLGCNN: A novel fully convolutional neural network for end-to-end monaural speech enhancement with utterance-based objective functions

Applied Acoustics ◽

10.1016/j.apacoust.2020.107511 ◽

2020 ◽

Vol 170 ◽

pp. 107511

Author(s):

Yuanyuan Zhu ◽

Xu Xu ◽

Zhongfu Ye

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Speech Enhancement ◽

Objective Functions ◽

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WaveCRN: An Efficient Convolutional Recurrent Neural Network for End-to-End Speech Enhancement

IEEE Signal Processing Letters ◽

10.1109/lsp.2020.3040693 ◽

2020 ◽

Vol 27 ◽

pp. 2149-2153

Author(s):

Tsun-An Hsieh ◽

Hsin-Min Wang ◽

Xugang Lu ◽

Yu Tsao

Keyword(s):

Neural Network ◽

Speech Enhancement ◽

Recurrent Neural Network ◽

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An End-to-End Speech Enhancement Framework Using Stacked Multi-scale Blocks

2019 IEEE 19th International Conference on Communication Technology (ICCT) ◽

10.1109/icct46805.2019.8947298 ◽

2019 ◽

Author(s):

Tian Lan ◽

Sen Li ◽

Yilan Lyu ◽

Chuan Peng ◽

Qiao Liu

Keyword(s):

Speech Enhancement ◽

Multi Scale ◽

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A Dual-Staged Context Aggregation Method towards Efficient End-to-End Speech Enhancement

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

10.1109/icassp40776.2020.9054499 ◽

2020 ◽

Author(s):

Kai Zhen ◽

Mi Suk Lee ◽

Minje Kim

Keyword(s):

Speech Enhancement ◽

Aggregation Method ◽

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End-to-End Speech Enhancement Based on Discrete Cosine Transform

2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) ◽

10.1109/icaica50127.2020.9182513 ◽

2020 ◽

Author(s):

Chuang Geng ◽

Lei Wang

Keyword(s):

Discrete Cosine Transform ◽

Speech Enhancement ◽

Cosine Transform ◽

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