Landmark based recognition of stops: acoustic attributes versus smoothed spectra
DSpace at IIT Bombay
View Archive InfoField | Value | |
Title |
Landmark based recognition of stops: acoustic attributes versus smoothed spectra
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Creator |
KARJIGI, V
RAO, P |
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Subject |
consonants
features articulation invariance place landmark based recognition unvoiced stops acoustic attributes burst vocalic transition |
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Description |
Landmark based recognition of unvoiced word-initial stops is investigated. The relative effectiveness of acoustic-phonetic attributes versus more global spectral shape features is experimentally evaluated for four-way place classification of unvoiced, unaspirated stops. Various feature sets derived from the burst and vocalic transition regions of word initial consonants are compared via GMM based classification under speaker, gender, and vowel-context variability. While a set of acoustic attributes derived from the burst shows the best invariance to vowel context, it is found that global spectral shape features provide the most robust representation of the vocalic transition region by overcoming the problem of errors in explicit formant tracking. A combination of features from the burst and vocalic regions was superior to burst-only cues, but still far from the near perfect identification achieved in human perception.
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Publisher |
ISCA-INST SPEECH COMMUNICATION ASSOC
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Date |
2011-10-26T02:58:22Z
2011-12-15T09:11:29Z 2011-10-26T02:58:22Z 2011-12-15T09:11:29Z 2008 |
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Type |
Proceedings Paper
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Identifier |
INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5,1550-1553
978-1-61567-378-0 http://dspace.library.iitb.ac.in/xmlui/handle/10054/15889 http://hdl.handle.net/100/2099 |
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Source |
9th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2008),Brisbane, AUSTRALIA,SEP 22-26, 2008
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Language |
English
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