Detecting stop consonants in continuous speech
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Published on: January 3, 2017
1Bell Laboratories, Lucent Technologies, Murray Hill, New Jersey 07974, USA. niyogi@cs.uchicago.edu
Abstract:
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.
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