ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Robust speech dereverberation based on non-negativity and sparse nature of speech spectrograms
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Robust speech recognition by integrating speech separation and hypothesis testing
Speech Communication
Mask estimation for missing data speech recognition based on statistics of binaural interaction
IEEE Transactions on Audio, Speech, and Language Processing
Phase-based dual-microphone robust speech enhancement
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust speech recognition based on binaural speech enhancement system as a preprocessing step
Proceedings of the Third Symposium on Information and Communication Technology
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In this paper, we describe a speech enhancement approach for robust speech recognition. This approach consists of two stages to solve both current problems of speech recognition: reverberation and noise. Firstly, speech signal is dereveberated by suppression of slowly -- varying components and the falling edge of the power envelope (SSF). Then a binaural speech processing is applied to remove noise from target speech. Speech recognition results show that this combination algorithm provides a good robustness in real environments.