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Now showing items 1-10 of 26

Deep learning reinvents the hearing aid

Type: Journal Paper

Author : DeLiang Wang

Year: 2017

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Investigation of Speech Separation as a Front-End for Noise Robust Speech Recognition

Type: Journal Paper

Author : Arun Narayanan; DeLiang Wang

Year: 2014

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Image Segmentation Based on Oscillatory Correlation

Type: Journal Paper

Author : DeLiang Wang; David Terman

Year: 1997

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Neural networks for supervised pitch tracking in noise

Type: Conference Paper

Author : Kun Han , DeLiang Wang

Publisher: IEEE

Year: 2014

A structure-preserving training target for supervised speech separation

Type: Conference Paper

Author : Yuxuan Wang , DeLiang Wang

Publisher: IEEE

Year: 2014

Joint noise adaptive training for robust automatic speech recognition

Type: Conference Paper

Author : Narayanan, A. , DeLiang Wang

Publisher: IEEE

Year: 2014

Ideal ratio mask estimation using deep neural networks for robust speech recognition

Type: Journal Paper

Author : Arun Narayanan; DeLiang Wang

Year: 2013

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A structure-preserving training target for supervised speech separation

Type: Journal Paper

Author : Yuxuan Wang; DeLiang Wang

Year: 2014

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Neural Network Based Pitch Tracking in Very Noisy Speech

Type: Journal Paper

Author : Kun Han; DeLiang Wang

Publisher: IEEE

Year: 2014

A Deep Ensemble Learning Method for Monaural Speech Separation

Type: Journal Paper

Author : Xiao-Lei Zhang; DeLiang Wang

Year: 2016

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Search

Deep learning reinvents the hearing aid

Investigation of Speech Separation as a Front-End for Noise Robust Speech Recognition

Image Segmentation Based on Oscillatory Correlation

Neural networks for supervised pitch tracking in noise

A structure-preserving training target for supervised speech separation

Joint noise adaptive training for robust automatic speech recognition

Ideal ratio mask estimation using deep neural networks for robust speech recognition

A structure-preserving training target for supervised speech separation

Neural Network Based Pitch Tracking in Very Noisy Speech

A Deep Ensemble Learning Method for Monaural Speech Separation

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Deep learning reinvents the hearing aid

Investigation of Speech Separation as a Front-End for Noise Robust Speech Recognition

Image Segmentation Based on Oscillatory Correlation

Neural networks for supervised pitch tracking in noise

A structure-preserving training target for supervised speech separation

Joint noise adaptive training for robust automatic speech recognition

Ideal ratio mask estimation using deep neural networks for robust speech recognition

A structure-preserving training target for supervised speech separation

Neural Network Based Pitch Tracking in Very Noisy Speech

A Deep Ensemble Learning Method for Monaural Speech Separation