Yongqiang Wang

Affiliations:
  • University of Cambridge, Department of Engineering, UK
  • Microsoft Corporation, Redmond, WA, USA


According to our database1, Yongqiang Wang authored at least 12 papers between 2011 and 2018.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2018
Confidence Estimation and Deletion Prediction Using Bidirectional Recurrent Neural Networks.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

2016
Two Efficient Lattice Rescoring Methods Using Recurrent Neural Network Language Models.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Efficient Training and Evaluation of Recurrent Neural Network Language Models for Automatic Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

2014
Adaptation of deep neural network acoustic models using factorised i-vectors.
Proceedings of the INTERSPEECH 2014, 2014

Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch.
Proceedings of the INTERSPEECH 2014, 2014

Efficient lattice rescoring using recurrent neural network language models.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
An explicit independence constraint for factorised adaptation in speech recognition.
Proceedings of the INTERSPEECH 2013, 2013

Tandem system adaptation using multiple linear feature transforms.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Speaker and Noise Factorization for Robust Speech Recognition.
IEEE Trans. Speech Audio Process., 2012

Model-based approaches to adaptive training in reverberant environments.
Proceedings of the INTERSPEECH 2012, 2012

2011
Speaker and noise factorisation on the AURORA4 task.
Proceedings of the IEEE International Conference on Acoustics, 2011

Improving reverberant VTS for hands-free robust speech recognition.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011


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