Improving reverberant VTS for hands-free robust speech recognition

@article{Wang2011ImprovingRV,
  title={Improving reverberant VTS for hands-free robust speech recognition},
  author={Yongqiang Wang and Mark J. F. Gales},
  journal={2011 IEEE Workshop on Automatic Speech Recognition & Understanding},
  year={2011},
  pages={113-118}
}
Model-based approaches to handling additive background noise and channel distortion, such as Vector Taylor Series (VTS), have been intensively studied and extended in a number of ways. In previous work, VTS has been extended to handle both reverberant and background noise, yielding the Reverberant VTS (RVTS) scheme. In this work, rather than assuming the observation vector is generated by the reverberation of a sequence of background noise corrupted speech vectors, as in RVTS, the observation… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 10 extracted citations

Far-field speech recognition using CNN-DNN-HMM with convolution in time

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2015
View 1 Excerpt

Noise model transfer using affine transformation with application to large vocabulary reverberant speech recognition

2013 IEEE International Conference on Acoustics, Speech and Signal Processing • 2013
View 1 Excerpt

Survey on approaches to speech recognition in reverberant environments

Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference • 2012
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 17 references

Frame-wise HMM adaptation using state-dependent reverberation estimates

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2011
View 2 Excerpts

Model-based approaches to handling additive noise in reverberant environments

2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays • 2011

Model Adaptation for Long Convolutional Distortion by Maximum Likelihood Based State Filtering Approach

2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings • 2006
View 2 Excerpts

Similar Papers

Loading similar papers…