Improved Features and Models for Detecting Edit Disfluencies in Transcribing Spontaneous Mandarin Speech

Detection of edit disfluencies is key to transcribing spontaneous utterances. In this paper, we present improved features and models to detect edit disfluencies and enhance transcription of spontaneous Mandarin speech using hypothesized disfluency interruption points (IPs) and edit word detection. A...

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Veröffentlicht in:	IEEE transactions on audio, speech, and language processing speech, and language processing, 2009-09, Vol.17 (7), p.1263-1278
Hauptverfasser:	LIN, Che-Kuang, LEE, Lin-Shan
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Character recognition Decision trees Digital multimedia broadcasting Edit disfluency Entropy Exact sciences and technology Humans Information systems Information, signal and communications theory interruption point detection Mandarins Maximum entropy Natural language processing Natural languages Probability theory prosody Recognition Signal processing Speech Speech analysis Speech enhancement Speech processing Speech recognition Spontaneous spontaneous speech Telecommunications and information theory
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