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نمایش تعداد 1-10 از 127

Deep learning reinvents the hearing aid

نوع: Journal Paper

نویسنده : DeLiang Wang

سال: 2017

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

نوع: Journal Paper

نویسنده : Arun Narayanan; DeLiang Wang

سال: 2014

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The role of binary mask patterns in automatic speech recognition in background noise

نوع: Journal Paper

نویسنده : Narayanan, Arun; Wang, DeLiang

ناشر: American Institute of Physics

سال: 2013

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Image Segmentation Based on Oscillatory Correlation

نوع: Journal Paper

نویسنده : DeLiang Wang; David Terman

سال: 1997

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Neural networks for supervised pitch tracking in noise

نوع: Conference Paper

نویسنده : Kun Han , DeLiang Wang

ناشر: IEEE

سال: 2014

A structure-preserving training target for supervised speech separation

نوع: Conference Paper

نویسنده : Yuxuan Wang , DeLiang Wang

ناشر: IEEE

سال: 2014

Joint noise adaptive training for robust automatic speech recognition

نوع: Conference Paper

نویسنده : Narayanan, A. , DeLiang Wang

ناشر: IEEE

سال: 2014

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

نوع: Journal Paper

نویسنده : Arun Narayanan; DeLiang Wang

سال: 2013

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A structure-preserving training target for supervised speech separation

نوع: Journal Paper

نویسنده : Yuxuan Wang; DeLiang Wang

سال: 2014

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Towards Polyoxometalate-Integrated Nanosystems

نوع: Journal Paper

نویسنده : De-Liang Long; Leroy Cronin

سال: 2006

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Search

Deep learning reinvents the hearing aid

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

The role of binary mask patterns in automatic speech recognition in background noise

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

Towards Polyoxometalate-Integrated Nanosystems

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Deep learning reinvents the hearing aid

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

The role of binary mask patterns in automatic speech recognition in background noise

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

Towards Polyoxometalate-Integrated Nanosystems