STFT Phase Reconstruction in Voiced Speech for an Improved Single-Channel Speech Enhancement

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2014.2354236 ◽

2014 ◽

Vol 22 (12) ◽

pp. 1931-1940 ◽

Author(s):

Martin Krawczyk ◽

Timo Gerkmann

Keyword(s):

Speech Enhancement ◽

Single Channel ◽

Phase Reconstruction ◽

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Single-Channel Speech Enhancement With Phase Reconstruction Based on Phase Distortion Averaging

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2018.2831632 ◽

2018 ◽

Vol 26 (9) ◽

pp. 1559-1569 ◽

Author(s):

Yukoh Wakabayashi ◽

Takahiro Fukumori ◽

Masato Nakayama ◽

Takanobu Nishiura ◽

Yoichi Yamashita

Keyword(s):

Speech Enhancement ◽

Single Channel ◽

Phase Distortion ◽

Phase Reconstruction

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Adaptive Single-Channel Speech Enhancement Method for a Push-To-Talk Enabled Wireless Communication Device

IEICE Transactions on Communications ◽

10.1587/transcom.2015ccp0023 ◽

2016 ◽

Vol E99.B (8) ◽

pp. 1745-1753

Author(s):

Hyoung-Gook KIM ◽

Jin Young KIM

Keyword(s):

Wireless Communication ◽

Speech Enhancement ◽

Single Channel ◽

Communication Device ◽

Enhancement Method

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Error Modeling via Asymmetric Laplace Distribution for Deep Neural Network Based Single-Channel Speech Enhancement

10.21437/interspeech.2018-1439 ◽

2018 ◽

Author(s):

Li Chai ◽

Jun Du ◽

Chin-Hui Lee

Keyword(s):

Neural Network ◽

Speech Enhancement ◽

Deep Neural Network ◽

Single Channel ◽

Laplace Distribution ◽

Error Modeling ◽

Asymmetric Laplace Distribution

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Perceptual weighting deep neural networks for single-channel speech enhancement

2016 12th World Congress on Intelligent Control and Automation (WCICA) ◽

10.1109/wcica.2016.7578300 ◽

2016 ◽

Author(s):

Wei Han ◽

Xiongwei Zhang ◽

Gang Min ◽

Xingyu Zhou ◽

Wei Zhang

Keyword(s):

Neural Networks ◽

Speech Enhancement ◽

Deep Neural Networks ◽

Single Channel ◽

Perceptual Weighting

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A New Weighted Loss for Single Channel Speech Enhancement under Low Signal-to-Noise Ratio Environment

2020 15th IEEE International Conference on Signal Processing (ICSP) ◽

10.1109/icsp48669.2020.9320989 ◽

2020 ◽

Author(s):

Jian Xiao ◽

Hongqing Liu ◽

Yi Zhou ◽

Zhen Luo

Keyword(s):

Speech Enhancement ◽

Single Channel ◽

Signal To Noise Ratio ◽

Signal To Noise ◽

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Robust Constrained MFMVDR Filters for Single-Channel Speech Enhancement based on Spherical Uncertainty Set

IEEE/ACM Transactions on Audio Speech and Language Processing ◽

10.1109/taslp.2020.3042013 ◽

2020 ◽

pp. 1-1

Author(s):

Doerte Fischer ◽

Simon Doclo

Keyword(s):

Speech Enhancement ◽

Single Channel ◽

Uncertainty Set

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A single channel speech enhancement method based on masking properties and minimum statistics

6th International Conference on Signal Processing, 2002. ◽

10.1109/icosp.2002.1181091 ◽

2003 ◽

Author(s):

Jiang Xiaoping ◽

Fu Hua ◽

Yao Tianren

Keyword(s):

Speech Enhancement ◽

Single Channel ◽

Enhancement Method ◽

Minimum Statistics

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A novel single-channel speech enhancement in noisy environments

4th International Conference on Intelligent Environments (IE 08) ◽

10.1049/cp:20081182 ◽

2008 ◽

Author(s):

Gin-Der Wu

Keyword(s):

Speech Enhancement ◽

Single Channel ◽

Noisy Environments

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Convolutional Recurrent Neural Network With Attention Gates For Real-time Single-channel Speech Enhancement

10.1109/ispacs51563.2021.9650978 ◽

2021 ◽

Author(s):

Wen-Yu Wu ◽

Pin-Hsuan Li ◽

Kai-Wen Liang ◽

Pao-Chi Chang

Keyword(s):

Neural Network ◽

Real Time ◽

Speech Enhancement ◽

Recurrent Neural Network ◽

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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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