Robust automatic speech recognition with missing and unreliable acoustic data
Speech Communication
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Robust speech recognition by integrating speech separation and hypothesis testing
Speech Communication
Under-determined reverberant audio source separation using a full-rank spatial covariance model
IEEE Transactions on Audio, Speech, and Language Processing - Special issue on processing reverberant speech: methodologies and applications
Improving speech intelligibility in noise using environment-optimized algorithms
IEEE Transactions on Audio, Speech, and Language Processing
Proceedings of the Second Symposium on Information and Communication Technology
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In this paper, we present a robust speech recognition based on binaural speech enhancement system as a preprocessing step. This system uses an existing dereverberation technique followed by a spatial masking-based noise removal algorithm where only signals coming from the desired directions are retained by using a threshold angle. While state-of-the art approaches fix the threshold angle heuristically over all time frames, in this paper, we propose to consider an adaptive computation where this threshold angle is first learned in several noise-only frames and then updated frame by frame. Speech recognition results in real environment show the effectiveness of the proposed speech enhancement approach.