A LARAGE-VOCABULARY TAIWANESE (MIN-NAN) MULTI-SYLLABIC WORD RECOGNITION SYSTEM BASED UPON RIGHT-CONTEXT-DEPENDENT PHONES WITH STATE CLUSTERING BY ACOUSTIC DECISION TREE

Ren Yuan Lyu; Yuang Jin Chiang; Wen Ping Hsieh

A LARAGE-VOCABULARY TAIWANESE (MIN-NAN) MULTI-SYLLABIC WORD RECOGNITION SYSTEM BASED UPON RIGHT-CONTEXT-DEPENDENT PHONES WITH STATE CLUSTERING BY ACOUSTIC DECISION TREE

Ren Yuan Lyu
, Yuang Jin Chiang^*
, Wen Ping Hsieh

^*Corresponding author for this work

Department of Computer Science and Information Engineering

National Tsing Hua University

Research output: Contribution to conference › Conference Paper › peer-review

6 Scopus citations

Abstract

In this paper, we apply context dependent phonetic modeling on the task of large vocabulary (with 20 thousand words) Taiwanese multi-syllabic word recognition. Considering the phonetic characteristics of Taiwanese, the right context dependent (RCD) phones instead of the general tri-phones are used. The RCDs are further clustered at the sub-phone or state level using a decision tree with a set of context-split questions specially designed for Taiwanese speech according to the acoustic/phonetic knowledge. For the speaker dependent case, 7.18% word error rate is achieved. A real-time prototype system implemented on a Pentium-II personal computer running MSWindows95/NT is also shown to validate the approaches proposed here.

Original language	English
State	Published - 1998
Event	5th International Conference on Spoken Language Processing, ICSLP 1998 - Sydney, Australia Duration: 30 11 1998 → 04 12 1998

Conference

Conference	5th International Conference on Spoken Language Processing, ICSLP 1998
Country/Territory	Australia
City	Sydney
Period	30/11/98 → 04/12/98

Bibliographical note

Publisher Copyright:
© 1998. 5th International Conference on Spoken Language Processing, ICSLP 1998. All rights reserved.

Cite this

@conference{eac65b7968b149ca9ae0851c8cf8d0a0,

title = "A LARAGE-VOCABULARY TAIWANESE (MIN-NAN) MULTI-SYLLABIC WORD RECOGNITION SYSTEM BASED UPON RIGHT-CONTEXT-DEPENDENT PHONES WITH STATE CLUSTERING BY ACOUSTIC DECISION TREE",

abstract = "In this paper, we apply context dependent phonetic modeling on the task of large vocabulary (with 20 thousand words) Taiwanese multi-syllabic word recognition. Considering the phonetic characteristics of Taiwanese, the right context dependent (RCD) phones instead of the general tri-phones are used. The RCDs are further clustered at the sub-phone or state level using a decision tree with a set of context-split questions specially designed for Taiwanese speech according to the acoustic/phonetic knowledge. For the speaker dependent case, 7.18\% word error rate is achieved. A real-time prototype system implemented on a Pentium-II personal computer running MSWindows95/NT is also shown to validate the approaches proposed here.",

author = "Lyu, \{Ren Yuan\} and Chiang, \{Yuang Jin\} and Hsieh, \{Wen Ping\}",

note = "Publisher Copyright: {\textcopyright} 1998. 5th International Conference on Spoken Language Processing, ICSLP 1998. All rights reserved.; 5th International Conference on Spoken Language Processing, ICSLP 1998 ; Conference date: 30-11-1998 Through 04-12-1998",

year = "1998",

language = "英语",

}

A LARAGE-VOCABULARY TAIWANESE (MIN-NAN) MULTI-SYLLABIC WORD RECOGNITION SYSTEM BASED UPON RIGHT-CONTEXT-DEPENDENT PHONES WITH STATE CLUSTERING BY ACOUSTIC DECISION TREE. / Lyu, Ren Yuan; Chiang, Yuang Jin; Hsieh, Wen Ping.
1998. Paper presented at 5th International Conference on Spoken Language Processing, ICSLP 1998, Sydney, Australia.

Research output: Contribution to conference › Conference Paper › peer-review

TY - CONF

T1 - A LARAGE-VOCABULARY TAIWANESE (MIN-NAN) MULTI-SYLLABIC WORD RECOGNITION SYSTEM BASED UPON RIGHT-CONTEXT-DEPENDENT PHONES WITH STATE CLUSTERING BY ACOUSTIC DECISION TREE

AU - Lyu, Ren Yuan

AU - Chiang, Yuang Jin

AU - Hsieh, Wen Ping

PY - 1998

Y1 - 1998

N2 - In this paper, we apply context dependent phonetic modeling on the task of large vocabulary (with 20 thousand words) Taiwanese multi-syllabic word recognition. Considering the phonetic characteristics of Taiwanese, the right context dependent (RCD) phones instead of the general tri-phones are used. The RCDs are further clustered at the sub-phone or state level using a decision tree with a set of context-split questions specially designed for Taiwanese speech according to the acoustic/phonetic knowledge. For the speaker dependent case, 7.18% word error rate is achieved. A real-time prototype system implemented on a Pentium-II personal computer running MSWindows95/NT is also shown to validate the approaches proposed here.

AB - In this paper, we apply context dependent phonetic modeling on the task of large vocabulary (with 20 thousand words) Taiwanese multi-syllabic word recognition. Considering the phonetic characteristics of Taiwanese, the right context dependent (RCD) phones instead of the general tri-phones are used. The RCDs are further clustered at the sub-phone or state level using a decision tree with a set of context-split questions specially designed for Taiwanese speech according to the acoustic/phonetic knowledge. For the speaker dependent case, 7.18% word error rate is achieved. A real-time prototype system implemented on a Pentium-II personal computer running MSWindows95/NT is also shown to validate the approaches proposed here.

UR - https://www.scopus.com/pages/publications/51849098063

M3 - 论文

AN - SCOPUS:51849098063

T2 - 5th International Conference on Spoken Language Processing, ICSLP 1998

Y2 - 30 November 1998 through 4 December 1998

ER -

A LARAGE-VOCABULARY TAIWANESE (MIN-NAN) MULTI-SYLLABIC WORD RECOGNITION SYSTEM BASED UPON RIGHT-CONTEXT-DEPENDENT PHONES WITH STATE CLUSTERING BY ACOUSTIC DECISION TREE

Abstract

Conference

Bibliographical note

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