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Lexical access using broad acoustic-phonetic classifications

✍ Scribed by J.N. Larar

Book ID: 104347438
Publisher: Elsevier Science
Year: 1986
Tongue: English
Weight: 639 KB
Volume: 1
Category: Article
ISSN: 0885-2308
DOI: 10.1016/s0885-2308(86)80010-9

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✦ Synopsis

For large vocabulary rccognition~ partial phonetic information can be used to reduce the number of likely match candidates before some detailed analysis is performed. This paper reports experimental results for lexical access via broad acoustic-phonetic feature representation. A manageable subset of the lexicon is retrieved using a speaker-independent word representation indicative of manner of articulation, stress, and fricative location. The synchronized electroglottographic (EGG) signal is used as a second channel of data to ensure reliable first pass utterance representation. The glottal sensing characteristics of the EGG aid endpoint detection and the voiced]unvoiced]mixed]silent classifications.

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