title: Detecting stop consonants in continuous speech.
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.
authors.affiliation: Bell Laboratories, Lucent Technologies, Murray Hill, New Jersey 07974, USA. niyogi@cs.uchicago.edu
authors.forename: P
authors.initials: P
authors.lastname: Niyogi
authors.forename: M M
authors.initials: MM
authors.lastname: Sondhi
mesh_terms: D006801:Humans; D008954:Models, Biological; D010700:Phonetics; D013018:Sound Spectrography; D013060:Speech / Q000502:physiology*; D013067:Speech Perception / Q000502:physiology*