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Acoustical and Environmental Robustness in Automatic Speech Recognition
[book]
1993
Preserved Fulltext
This dissertation describes a number of algorithms developed to increase the robustness of automatic speech recognition systems with respect to changes in the environment. These algorithms attempt to improve the recognition accuracy of speech recognition systems when they are trained and tested in different acoustical environments, and when a desk-top microphone (rather than a close-talking microphone) is used for speech input. Without such processing, mismatches between training and testing
doi:10.1007/978-1-4615-3122-7
fatcat:q2c2ljzg5zf4bmmk3nrge3n2ui