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This paper presents an approach of automatic selection of phonetically distributed sentence sets for speaker adaptation, and applies the concept to the task of Mandarin speech recognition with very large vocabulary. This is a different approach to the adaptation data selection problem. A computer algorithm is developed to select minimum sets of phonetically distributed training sentences from a text...
Although the delta and RASTA methods have been widely used in extracting the temporal properties of stationary features for robust speech recognition, there is still a need to investigate new temporal features for better performance. In this paper, we present two new temporal features for robust processing of speech signals with emphasis on microphone variations. First, the temporal feature is derived...
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