Gang Li

Affiliations:
  • Microsoft Research Asia, Beijing, China


According to our database1, Gang Li authored at least 13 papers between 2010 and 2014.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2014
1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs.
Proceedings of the INTERSPEECH 2014, 2014

On parallelizability of stochastic gradient descent for speech DNNS.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
MSR-FBK IWSLT 2013 SLT system description.
Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2013, 2013

A new language independent, photo-realistic talking head driven by voice only.
Proceedings of the INTERSPEECH 2013, 2013

KL-divergence regularized deep neural network adaptation for improved large vocabulary speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

Error back propagation for sequence training of Context-Dependent Deep NetworkS for conversational speech transcription.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Context-dependent Deep Neural Networks for audio indexing of real-life data.
Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

Pipelined Back-Propagation for Context-Dependent Deep Neural Networks.
Proceedings of the INTERSPEECH 2012, 2012

Exploiting sparseness in deep neural networks for large vocabulary speech recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Conversational Speech Transcription Using Context-Dependent Deep Neural Networks.
Proceedings of the INTERSPEECH 2011, 2011

Leveraging the Web for automatically generating indexable and browsable keywords for speech files.
Proceedings of the IEEE International Conference on Acoustics, 2011

Feature engineering in Context-Dependent Deep Neural Networks for conversational speech transcription.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
Vocabulary and language model adaptation using just one speech file.
Proceedings of the IEEE International Conference on Acoustics, 2010


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