Jian Wu

Affiliations:
  • University of Hong Kong, HKU, Department of Computer Science, Hong Kong (PhD 2004)
  • Microsoft Corporation, Redmond, WA, USA


According to our database1, Jian Wu authored at least 12 papers between 2002 and 2007.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2007
A Study of Minimum Classification Error (MCE) Linear Regression for Supervised Adaptation of MCE-Trained Continuous-Density Hidden Markov Models.
IEEE Trans. Speech Audio Process., 2007

2006
An Environment-Compensated Minimum Classification Error Training Approach Based on Stochastic Vector Mapping.
IEEE Trans. Speech Audio Process., 2006

Unsupervised Online Adaptation of Segmental Switching Linear Gaussian Hidden Markov Models for Robust Speech Recognition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
An Environment Compensated Maximum Likelihood Training Approach Based on Stochastic Vector Mapping.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Discriminative speaker adaptation and environmental robustness in automatic speech recognition
PhD thesis, 2004

A study of switching state segmentation in segmental switching linear Gaussian hidden Markov models for robust speech recognition.
Proceedings of the 2004 International Symposium on Chinese Spoken Language Processing, 2004

A study of minimum classification error training for segmental switching linear Gaussian hidden Markov models.
Proceedings of the INTERSPEECH 2004, 2004

2003
A switching linear Gaussian hidden Markov model and its application to nonstationary noise compensation for robust speech recognition.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Several HKU approaches for robust speech recognition and their evaluation on Aurora connected digit recognition tasks.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Modelling uncertainty in stochastic vector mapping with minimum classification error training for robust speech recognition.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
An environment compensated minimum classification error training approach and its evaluation on Aurora2 database.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Supervised adaptation of MCE-trained CDHMMS using minimum classification error linear regression.
Proceedings of the IEEE International Conference on Acoustics, 2002


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