Distributed speech recognition of Mandarin digits string

Yih-Ru Wang; Bo Xuan Lu; Yuan Fu Liao; Sin-Horng Chen

doi:10.1007/11939993_40

Distributed speech recognition of Mandarin digits string

Yih-Ru Wang^*, Bo Xuan Lu, Yuan Fu Liao, Sin-Horng Chen

^*Corresponding author for this work

National Chiao Tung University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

In this paper, the performance of the pitch detection algorithm in ETSI ES-202-212 XAFE standard is evaluated on a Mandarin digit string recognition task. Experimental results showed that the performance of the pitch detection algorithm degraded seriously when the SNR of speech signal was lower than 10dB. This makes the recognizer using pitch information perform inferior to the original recognizer without using pitch information in low SNR environments. A modification of the pitch detection algorithm is therefore proposed to improve the performance of pitch detection in low SNR environments. The recognition performance can be improved for most SNR levels by integrating the recognizers with and without using pitch information. Overall recognition rates of 82.1% and 86.8% were achieved for clean and multi-condition training cases.

Original language	English
Title of host publication	Chinese Spoken Language Processing - 5th International Symposium, ISCSLP 2006, Proceedings
Pages	370-379
Number of pages	10
DOIs	https://doi.org/10.1007/11939993_40
State	Published - 1 Dec 2006
Event	5th International Symposium on Chinese Spoken Language Processing, ISCSLP 2006 - Singapore, Singapore Duration: 13 Dec 2006 → 16 Dec 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4274 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Symposium on Chinese Spoken Language Processing, ISCSLP 2006
Country	Singapore
City	Singapore
Period	13/12/06 → 16/12/06

Keywords

Distributed speech recognition
Extended Advanced Front-end
Tonal language speech recognition

Access to Document

10.1007/11939993_40

Link to publication in Scopus

Fingerprint Dive into the research topics of 'Distributed speech recognition of Mandarin digits string'. Together they form a unique fingerprint.

Cite this

Wang, Y-R., Lu, B. X., Liao, Y. F., & Chen, S-H. (2006). Distributed speech recognition of Mandarin digits string. In Chinese Spoken Language Processing - 5th International Symposium, ISCSLP 2006, Proceedings (pp. 370-379). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4274 LNAI). https://doi.org/10.1007/11939993_40

@inproceedings{131e57cf5d7042e89f02d937805fe4b2,

title = "Distributed speech recognition of Mandarin digits string",

abstract = "In this paper, the performance of the pitch detection algorithm in ETSI ES-202-212 XAFE standard is evaluated on a Mandarin digit string recognition task. Experimental results showed that the performance of the pitch detection algorithm degraded seriously when the SNR of speech signal was lower than 10dB. This makes the recognizer using pitch information perform inferior to the original recognizer without using pitch information in low SNR environments. A modification of the pitch detection algorithm is therefore proposed to improve the performance of pitch detection in low SNR environments. The recognition performance can be improved for most SNR levels by integrating the recognizers with and without using pitch information. Overall recognition rates of 82.1% and 86.8% were achieved for clean and multi-condition training cases.",

keywords = "Distributed speech recognition, Extended Advanced Front-end, Tonal language speech recognition",

author = "Yih-Ru Wang and Lu, {Bo Xuan} and Liao, {Yuan Fu} and Sin-Horng Chen",

year = "2006",

month = dec,

day = "1",

doi = "10.1007/11939993_40",

language = "English",

isbn = "3540496653",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "370--379",

booktitle = "Chinese Spoken Language Processing - 5th International Symposium, ISCSLP 2006, Proceedings",

note = "null ; Conference date: 13-12-2006 Through 16-12-2006",

}

Wang, Y-R, Lu, BX, Liao, YF & Chen, S-H 2006, Distributed speech recognition of Mandarin digits string. in Chinese Spoken Language Processing - 5th International Symposium, ISCSLP 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4274 LNAI, pp. 370-379, 5th International Symposium on Chinese Spoken Language Processing, ISCSLP 2006, Singapore, Singapore, 13/12/06. https://doi.org/10.1007/11939993_40

Distributed speech recognition of Mandarin digits string. / Wang, Yih-Ru; Lu, Bo Xuan; Liao, Yuan Fu; Chen, Sin-Horng.

Chinese Spoken Language Processing - 5th International Symposium, ISCSLP 2006, Proceedings. 2006. p. 370-379 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4274 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Distributed speech recognition of Mandarin digits string

AU - Wang, Yih-Ru

AU - Lu, Bo Xuan

AU - Liao, Yuan Fu

AU - Chen, Sin-Horng

PY - 2006/12/1

Y1 - 2006/12/1

N2 - In this paper, the performance of the pitch detection algorithm in ETSI ES-202-212 XAFE standard is evaluated on a Mandarin digit string recognition task. Experimental results showed that the performance of the pitch detection algorithm degraded seriously when the SNR of speech signal was lower than 10dB. This makes the recognizer using pitch information perform inferior to the original recognizer without using pitch information in low SNR environments. A modification of the pitch detection algorithm is therefore proposed to improve the performance of pitch detection in low SNR environments. The recognition performance can be improved for most SNR levels by integrating the recognizers with and without using pitch information. Overall recognition rates of 82.1% and 86.8% were achieved for clean and multi-condition training cases.

AB - In this paper, the performance of the pitch detection algorithm in ETSI ES-202-212 XAFE standard is evaluated on a Mandarin digit string recognition task. Experimental results showed that the performance of the pitch detection algorithm degraded seriously when the SNR of speech signal was lower than 10dB. This makes the recognizer using pitch information perform inferior to the original recognizer without using pitch information in low SNR environments. A modification of the pitch detection algorithm is therefore proposed to improve the performance of pitch detection in low SNR environments. The recognition performance can be improved for most SNR levels by integrating the recognizers with and without using pitch information. Overall recognition rates of 82.1% and 86.8% were achieved for clean and multi-condition training cases.

KW - Distributed speech recognition

KW - Extended Advanced Front-end

KW - Tonal language speech recognition

UR - http://www.scopus.com/inward/record.url?scp=77249123861&partnerID=8YFLogxK

U2 - 10.1007/11939993_40

DO - 10.1007/11939993_40

M3 - Conference contribution

AN - SCOPUS:77249123861

SN - 3540496653

SN - 9783540496656

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 370

EP - 379

BT - Chinese Spoken Language Processing - 5th International Symposium, ISCSLP 2006, Proceedings

Y2 - 13 December 2006 through 16 December 2006

ER -

Wang Y-R, Lu BX, Liao YF, Chen S-H. Distributed speech recognition of Mandarin digits string. In Chinese Spoken Language Processing - 5th International Symposium, ISCSLP 2006, Proceedings. 2006. p. 370-379. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11939993_40