Abstract
In this paper, we propose a POS (part-of-speech)-dependent multiple pronunciation dictionary generation method using HMM-state confusions spanning several phonemes. When used in a multi-pass search, a dictionary generated from the method makes it possible to recover missing words that are lost during the first pass of the search process in continuous speech recognition using a single pronunciation dictionary. The new pronunciations are added to a dictionary that considers the POS dependency of the confusion characteristics. Continuous word recognition experiments have confirmed that the best results are obtained when (1) confusions expressed by HMM-state sequences and (2) pronunciation variations considering the POS-dependent confusion characteristics are used.
| Original language | English |
|---|---|
| Pages (from-to) | 143-153 |
| Number of pages | 11 |
| Journal | Computer Speech and Language |
| Volume | 13 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1999 Apr |
| Externally published | Yes |
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ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Experimental and Cognitive Psychology
- Linguistics and Language
Cite this
Multiple pronunciation dictionary using HMM-state confusion characteristics. / Wakita, Yumi; Singer, Harald; Sagisaka, Yoshinori.
In: Computer Speech and Language, Vol. 13, No. 2, 04.1999, p. 143-153.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Multiple pronunciation dictionary using HMM-state confusion characteristics
AU - Wakita, Yumi
AU - Singer, Harald
AU - Sagisaka, Yoshinori
PY - 1999/4
Y1 - 1999/4
N2 - In this paper, we propose a POS (part-of-speech)-dependent multiple pronunciation dictionary generation method using HMM-state confusions spanning several phonemes. When used in a multi-pass search, a dictionary generated from the method makes it possible to recover missing words that are lost during the first pass of the search process in continuous speech recognition using a single pronunciation dictionary. The new pronunciations are added to a dictionary that considers the POS dependency of the confusion characteristics. Continuous word recognition experiments have confirmed that the best results are obtained when (1) confusions expressed by HMM-state sequences and (2) pronunciation variations considering the POS-dependent confusion characteristics are used.
AB - In this paper, we propose a POS (part-of-speech)-dependent multiple pronunciation dictionary generation method using HMM-state confusions spanning several phonemes. When used in a multi-pass search, a dictionary generated from the method makes it possible to recover missing words that are lost during the first pass of the search process in continuous speech recognition using a single pronunciation dictionary. The new pronunciations are added to a dictionary that considers the POS dependency of the confusion characteristics. Continuous word recognition experiments have confirmed that the best results are obtained when (1) confusions expressed by HMM-state sequences and (2) pronunciation variations considering the POS-dependent confusion characteristics are used.
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UR - http://www.scopus.com/inward/citedby.url?scp=0033106613&partnerID=8YFLogxK
U2 - 10.1006/csla.1998.0116
DO - 10.1006/csla.1998.0116
M3 - Article
VL - 13
SP - 143
EP - 153
JO - Computer Speech and Language
JF - Computer Speech and Language
SN - 0885-2308
IS - 2
ER -