ISCA Archive Interspeech 2005
ISCA Archive Interspeech 2005

Efficient blind dereverberation framework for automatic speech recognition

Keisuke Kinoshita, Tomohiro Nakatani, Masato Miyoshi

A speech signal captured by a distant microphone is generally smeared by reverberation, which severely degrades Automatic Speech Recognition (ASR) performance. In this paper, we propose a novel and practical single channel dereverberation scheme, which utilizes the relationship between speech and reverberation. A dereverberation filter derived by the proposed method is capable of efficiently suppressing late reflections, which constitute a major cause of ASR performance degradation. The proposed algorithm can achieve effective dereverberation with a more reasonable computational complexity than conventional methods. Experimental results reveal a substantial improvement in ASR performance even in severely reverberant environments.


doi: 10.21437/Interspeech.2005-269

Cite as: Kinoshita, K., Nakatani, T., Miyoshi, M. (2005) Efficient blind dereverberation framework for automatic speech recognition. Proc. Interspeech 2005, 3145-3148, doi: 10.21437/Interspeech.2005-269

@inproceedings{kinoshita05_interspeech,
  author={Keisuke Kinoshita and Tomohiro Nakatani and Masato Miyoshi},
  title={{Efficient blind dereverberation framework for automatic speech recognition}},
  year=2005,
  booktitle={Proc. Interspeech 2005},
  pages={3145--3148},
  doi={10.21437/Interspeech.2005-269}
}