An auditory based modulation spectral feature for reverberant speech recognition

@inproceedings{Maganti2010AnAB,
  title={An auditory based modulation spectral feature for reverberant speech recognition},
  author={Hari Krishna Maganti and Marco Matassoni},
  booktitle={INTERSPEECH},
  year={2010}
}
In this paper, an auditory based modulation spectral feature is presented to improve automatic speech recognition performance in presence of room reverberation. The solution is based on extracting features from auditory processing characteristics, specifically gammatone filtering based long-term modulation spectral features to reduce sensitivity to environmental noise and further preserve the important speech intelligibility information in the speech signal essential for ASR. Experiments are… CONTINUE READING
Highly Cited
This paper has 27 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 19 extracted citations

A Feature Study for Classification-Based Speech Separation at Low Signal-to-Noise Ratios

IEEE/ACM Transactions on Audio, Speech, and Language Processing • 2014
View 6 Excerpts
Highly Influenced

Supervised Speech Separation Based on Deep Learning: An Overview

IEEE/ACM Transactions on Audio, Speech, and Language Processing • 2018

Features for Masking-Based Monaural Speech Separation in Reverberant Conditions

IEEE/ACM Transactions on Audio, Speech, and Language Processing • 2017
View 1 Excerpt

Robust front-end processing for Speech Recognition in noisy conditions

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2017
View 1 Excerpt

On using heterogeneous data for vehicle-based speech recognition: A DNN-based approach

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2015
View 3 Excerpts

Speech feature denoising and dereverberation via deep autoencoders for noisy reverberant speech recognition

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2014
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 15 references

Gammatone Features and Feature Combination for Large Vocabulary Speech Recognition

2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07 • 2007
View 14 Excerpts
Highly Influenced

A Comparative Study of Auditory-based Front-ends for Robust Speech Recognition using the Aurora 2 Database

R. Flynn, E. Jones
IET Irish Sig. and Sys. Conf.,(ISSC), • 2006
View 4 Excerpts
Highly Influenced

A.,“Environmental Robustness”, in Springer Handbook of Speech

J. Droppo, Acero
Y.[Eds], 653-679,Springer, • 2008
View 1 Excerpt

MVA Processing of Speech Features

IEEE Transactions on Audio, Speech, and Language Processing • 2007
View 1 Excerpt

Similar Papers

Loading similar papers…