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نمایش تعداد 1-10 از 14

Training Deep Bidirectional LSTM Acoustic Model for LVCSR by a Context-Sensitive-Chunk BPTT Approach

نوع: Journal Paper

نویسنده : Kai Chen; Qiang Huo

سال: 2016

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An Improved VTS Feature Compensation using Mixture Models of Distortion and IVN Training for Noisy Speech Recognition

نوع: Journal Paper

نویسنده : Jun Du; Qiang Huo

ناشر: IEEE

سال: 2014

Synthesized stereo mapping via deep neural networks for noisy speech recognition

نوع: Conference Paper

نویسنده : Jun Du , Li-Rong Dai , Qiang Huo

ناشر: IEEE

سال: 2014

Study on downlink spectral efficiency in orthogonal frequency division multiple access systems

نوع: Journal Paper

نویسنده : Qiang Huo; Meng Ma; Bingli Jiao

ناشر: IET

سال: 2014

An Unsupervised Adaptation Approach to Leveraging Feedback Loop Data by Using i-Vector for Data Clustering and Selection

نوع: Journal Paper

نویسنده : Jian Xu; Zhi-Jie Yan; Qiang Huo

ناشر: IEEE

سال: 2014

A context-sensitive-chunk BPTT approach to training deep LSTM/BLSTM recurrent neural networks for offline handwriting recognition

نوع: Journal Paper

نویسنده : Kai Chen; Zhi-Jie Yan; Qiang Huo

سال: 2015

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A study on effects of implicit and explicit language model information for DBLSTM-CTC based handwriting recognition

نوع: Journal Paper

نویسنده : Qi Liu; Lijuan Wang; Qiang Huo

سال: 2015

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Chinese Spoken Language Processing: 5th International Symposium, ISCSLP 2006, Singapore, December 13-16, 2006, Proceedings

نوع: Ebook

نویسنده : Qiang Huo; Bin Ma; Eng-Siong Chng; Haizhou Li

ناشر: Springer

سال: 2006

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A robust approach for text detection from natural scene images

نوع: Journal Paper

نویسنده : Lei Sun; Qiang Huo; Wei Jia; Kai Chen

سال: 2015

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Selective combining for hybrid cooperative networks

نوع: Journal Paper

نویسنده : Qiang Huo; Tianxi Liu; Shaohui Sun; Lingyang Song; Bingli Jiao

ناشر: IET

سال: 2014

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Training Deep Bidirectional LSTM Acoustic Model for LVCSR by a Context-Sensitive-Chunk BPTT Approach

An Improved VTS Feature Compensation using Mixture Models of Distortion and IVN Training for Noisy Speech Recognition

Synthesized stereo mapping via deep neural networks for noisy speech recognition

Study on downlink spectral efficiency in orthogonal frequency division multiple access systems

An Unsupervised Adaptation Approach to Leveraging Feedback Loop Data by Using i-Vector for Data Clustering and Selection

A context-sensitive-chunk BPTT approach to training deep LSTM/BLSTM recurrent neural networks for offline handwriting recognition

A study on effects of implicit and explicit language model information for DBLSTM-CTC based handwriting recognition

Chinese Spoken Language Processing: 5th International Symposium, ISCSLP 2006, Singapore, December 13-16, 2006, Proceedings

A robust approach for text detection from natural scene images

Selective combining for hybrid cooperative networks

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Training Deep Bidirectional LSTM Acoustic Model for LVCSR by a Context-Sensitive-Chunk BPTT Approach

An Improved VTS Feature Compensation using Mixture Models of Distortion and IVN Training for Noisy Speech Recognition

Synthesized stereo mapping via deep neural networks for noisy speech recognition

Study on downlink spectral efficiency in orthogonal frequency division multiple access systems

An Unsupervised Adaptation Approach to Leveraging Feedback Loop Data by Using i-Vector for Data Clustering and Selection

A context-sensitive-chunk BPTT approach to training deep LSTM/BLSTM recurrent neural networks for offline handwriting recognition

A study on effects of implicit and explicit language model information for DBLSTM-CTC based handwriting recognition

Chinese Spoken Language Processing: 5th International Symposium, ISCSLP 2006, Singapore, December 13-16, 2006, Proceedings

A robust approach for text detection from natural scene images

Selective combining for hybrid cooperative networks