Detecting stop consonants in continuous speech.
The problem of implementing a detector for stop consonants in continuously spoken speech is considered. The problem is posed as one of finding an optimal filter (linear or nonlinear) that operates on a particular appropriately chosen representation, and ideally outputs a 1 when a stop occurs and 0 otherwise. The performance of several variants of a canonical stop detector is discussed and its implications for human and machine speech recognition is considered.
Niyogi
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Bell Laboratories, Lucent Technologies, Murray Hill, New Jersey 07974, USA. niyogi@cs.uchicago.edu
Sondhi
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D006801:Humans; D008954:Models, Biological; D010700:Phonetics; D013018:Sound Spectrography; D013060:Speech / Q000502:physiology*; D013067:Speech Perception / Q000502:physiology*