A Maximum Likelihood Approach to Masking-based Speech Enhancement Using Deep Neural Network

2018 11th International Symposium on Chinese Spoken Language Processing (ISCSLP) ◽

10.1109/iscslp.2018.8706582 ◽

2018 ◽

Author(s):

Qing Wang ◽

Jun Du ◽

Li Chai ◽

Li-Rong Dai ◽

Chin-Hui Lee

Keyword(s):

Neural Network ◽

Maximum Likelihood ◽

Speech Enhancement ◽

Deep Neural Network ◽

Maximum Likelihood Approach ◽

Likelihood Approach

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A maximum likelihood approach to deep neural network based speech dereverberation

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) ◽

10.1109/apsipa.2017.8282019 ◽

2017 ◽

Author(s):

Xin Wang ◽

Jun Du ◽

Yannan Wang

Keyword(s):

Neural Network ◽

Maximum Likelihood ◽

Deep Neural Network ◽

Speech Dereverberation ◽

Maximum Likelihood Approach ◽

Likelihood Approach

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A Maximum Likelihood Approach to Deep Neural Network Based Nonlinear Spectral Mapping for Single-Channel Speech Separation

10.21437/interspeech.2017-830 ◽

2017 ◽

Author(s):

Yannan Wang ◽

Jun Du ◽

Li-Rong Dai ◽

Chin-Hui Lee

Keyword(s):

Neural Network ◽

Maximum Likelihood ◽

Deep Neural Network ◽

Single Channel ◽

Speech Separation ◽

Spectral Mapping ◽

Maximum Likelihood Approach ◽

Likelihood Approach

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A Maximum Likelihood Approach to Multi-Objective Learning Using Generalized Gaussian Distributions for Dnn-Based Speech Enhancement

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

10.1109/icassp40776.2020.9053995 ◽

2020 ◽

Author(s):

Shu-Tong Niu ◽

Jun Du ◽

Li Chai ◽

Chin-Hui Lee

Keyword(s):

Maximum Likelihood ◽

Speech Enhancement ◽

Gaussian Distributions ◽

Multi Objective ◽

Maximum Likelihood Approach ◽

Likelihood Approach ◽

Generalized Gaussian Distributions

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A Maximum Likelihood Approach to SNR-Progressive Learning Using Generalized Gaussian Distribution for LSTM-Based Speech Enhancement

10.21437/interspeech.2021-922 ◽

2021 ◽

Author(s):

Xiao-Qi Zhang ◽

Jun Du ◽

Li Chai ◽

Chin-Hui Lee

Keyword(s):

Maximum Likelihood ◽

Speech Enhancement ◽

Gaussian Distribution ◽

Generalized Gaussian Distribution ◽

Maximum Likelihood Approach ◽

Likelihood Approach ◽

Progressive Learning

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Maximum likelihood approach to speech enhancement for noisy reverberant signals

2008 IEEE International Conference on Acoustics, Speech and Signal Processing ◽

10.1109/icassp.2008.4518677 ◽

2008 ◽

Author(s):

Takuya Yoshioka ◽

Tomohiro Nakatani ◽

Takafumi Hikichi ◽

Masato Miyoshi

Keyword(s):

Maximum Likelihood ◽

Speech Enhancement ◽

Maximum Likelihood Approach ◽

Likelihood Approach

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Faculty Opinions recommendation of Improvement of distance-based phylogenetic methods by a local maximum likelihood approach using triplets.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1010385.152158 ◽

2002 ◽

Author(s):

Ziheng Yang

Keyword(s):

Maximum Likelihood ◽

Local Maximum ◽

Maximum Likelihood Approach ◽

Phylogenetic Methods ◽

Likelihood Approach ◽

Local Maximum Likelihood

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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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Speech Enhancement for Punjabi Language Using Deep Neural Network

2019 International Conference on Signal Processing and Communication (ICSC) ◽

10.1109/icsc45622.2019.8938309 ◽

2019 ◽

Author(s):

Jaspreet Singh ◽

Kamaldeep Kaur

Keyword(s):

Neural Network ◽

Speech Enhancement ◽

Deep Neural Network

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A Maximum Likelihood Approach to Parallel Imaging With Coil Sensitivity Noise

IEEE Transactions on Medical Imaging ◽

10.1109/tmi.2007.897364 ◽

2007 ◽

Vol 26 (8) ◽

pp. 1046-1057 ◽

Author(s):

A. Raj ◽

Yi Wang ◽

R. Zabih

Keyword(s):

Maximum Likelihood ◽

Parallel Imaging ◽

Coil Sensitivity ◽

Maximum Likelihood Approach ◽

Likelihood Approach

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Bayesian Monte Carlo and maximum likelihood approach for uncertainty estimation and risk management: Application to lake oxygen recovery model

Water Research ◽

10.1016/j.watres.2016.11.012 ◽

2017 ◽

Vol 108 ◽

pp. 301-311 ◽

Author(s):

Abhishek Chaudhary ◽

Mohamed M. Hantush

Keyword(s):

Risk Management ◽

Monte Carlo ◽

Maximum Likelihood ◽

Uncertainty Estimation ◽

Recovery Model ◽

Maximum Likelihood Approach ◽

Management Application ◽

Bayesian Monte Carlo ◽

Likelihood Approach

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