Abstract
The purpose of this paper is to create an understanding system that can reduce the recognition error that prevents semantic analysis, and that is robust to speech input. A method is proposed in which semantic analysis and speech recognition are integrated on the basis of a statistical model, and the procedure is optimized as a high-level recognition process from speech to semantics. As a method of realizing the idea effectively and efficiently, search of the word graph by means of a decision tree is proposed. Using the proposed method, an identification experiment is performed for the semantics represented by the intermediate language. It is a problem of segmentation of utterances into an average of 1.6 semantic units, and the assignment of the semantic units to 7600 classes characterized by combinations of utterance action and concept. In the speech recognition experiment the understanding error is improved by 8.5% compared to the case in which the 1-best recognition candidate is input.
| Original language | English |
|---|---|
| Pages (from-to) | 52-62 |
| Number of pages | 11 |
| Journal | Systems and Computers in Japan |
| Volume | 33 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2002 Mar |
| Externally published | Yes |
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Keywords
- Decision tree
- Intermediate language
- Speech understanding
- Word graph
ASJC Scopus subject areas
- Hardware and Architecture
- Information Systems
- Theoretical Computer Science
- Computational Theory and Mathematics
Cite this
A stochastic speech understanding method to generate interlingual representations. / Tanigaki, Koichi; Sagisaka, Yoshinori.
In: Systems and Computers in Japan, Vol. 33, No. 3, 03.2002, p. 52-62.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A stochastic speech understanding method to generate interlingual representations
AU - Tanigaki, Koichi
AU - Sagisaka, Yoshinori
PY - 2002/3
Y1 - 2002/3
N2 - The purpose of this paper is to create an understanding system that can reduce the recognition error that prevents semantic analysis, and that is robust to speech input. A method is proposed in which semantic analysis and speech recognition are integrated on the basis of a statistical model, and the procedure is optimized as a high-level recognition process from speech to semantics. As a method of realizing the idea effectively and efficiently, search of the word graph by means of a decision tree is proposed. Using the proposed method, an identification experiment is performed for the semantics represented by the intermediate language. It is a problem of segmentation of utterances into an average of 1.6 semantic units, and the assignment of the semantic units to 7600 classes characterized by combinations of utterance action and concept. In the speech recognition experiment the understanding error is improved by 8.5% compared to the case in which the 1-best recognition candidate is input.
AB - The purpose of this paper is to create an understanding system that can reduce the recognition error that prevents semantic analysis, and that is robust to speech input. A method is proposed in which semantic analysis and speech recognition are integrated on the basis of a statistical model, and the procedure is optimized as a high-level recognition process from speech to semantics. As a method of realizing the idea effectively and efficiently, search of the word graph by means of a decision tree is proposed. Using the proposed method, an identification experiment is performed for the semantics represented by the intermediate language. It is a problem of segmentation of utterances into an average of 1.6 semantic units, and the assignment of the semantic units to 7600 classes characterized by combinations of utterance action and concept. In the speech recognition experiment the understanding error is improved by 8.5% compared to the case in which the 1-best recognition candidate is input.
KW - Decision tree
KW - Intermediate language
KW - Speech understanding
KW - Word graph
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UR - http://www.scopus.com/inward/citedby.url?scp=0036500120&partnerID=8YFLogxK
U2 - 10.1002/scj.1113
DO - 10.1002/scj.1113
M3 - Article
VL - 33
SP - 52
EP - 62
JO - Systems and Computers in Japan
JF - Systems and Computers in Japan
SN - 0882-1666
IS - 3
ER -