Recognition of Connected Digit Speech in Japanese Collected over the Telephone Network

Hisashi KAWAI; Tohru SHIMIZU; Norio HIGUCHI

Recognition of Connected Digit Speech in Japanese Collected over the Telephone Network

Hisashi KAWAI, Tohru SHIMIZU, Norio HIGUCHI

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This paper describes experimental results on whole word HMM-based speech recognition of connected digits in Japanese with special focus on the training data size and the "sheep and goats" problem. The training data comprises 757000 digits uttered by 2000 speakers, while the testing data comprises 399000 digits uttered by 1700 speakers. The best word error rate for unknown length strings was 1.64% obtained using context dependent HMMs. The word error rate was measured for various subsets of the training data reduced both in the number of speakers (s) and the number of utterances per speakers (u). As a result, an empirical formula of s[{min(0.62s^0.75, u)}^0.74 + {max(0, u-0.62s^0.75)}^0.27] = D(E_w) was developed, where E_w and D(E_w) designate word error rate and effective data size, respectively. Analyses were conducted on several aspects of the low performance speakers accounting for the major part of recognition errors. Attempts were also made to improve their recognition performance. It was found that 33% of the low performance speakers are improved to the normal level by speaker clustering centered around each low performance speaker.

Publication: IEICE TRANSACTIONS on Information Vol.E84-D No.3 pp.374-383

Publication Date: 2001/03/01

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Type of Manuscript: PAPER

Category: Speech and Hearing

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Hisashi KAWAI, Tohru SHIMIZU, Norio HIGUCHI, "Recognition of Connected Digit Speech in Japanese Collected over the Telephone Network" in IEICE TRANSACTIONS on Information, vol. E84-D, no. 3, pp. 374-383, March 2001, doi: .
Abstract: This paper describes experimental results on whole word HMM-based speech recognition of connected digits in Japanese with special focus on the training data size and the "sheep and goats" problem. The training data comprises 757000 digits uttered by 2000 speakers, while the testing data comprises 399000 digits uttered by 1700 speakers. The best word error rate for unknown length strings was 1.64% obtained using context dependent HMMs. The word error rate was measured for various subsets of the training data reduced both in the number of speakers (s) and the number of utterances per speakers (u). As a result, an empirical formula of s[{min(0.62s^0.75, u)}^0.74 + {max(0, u-0.62s^0.75)}^0.27] = D(E_w) was developed, where E_w and D(E_w) designate word error rate and effective data size, respectively. Analyses were conducted on several aspects of the low performance speakers accounting for the major part of recognition errors. Attempts were also made to improve their recognition performance. It was found that 33% of the low performance speakers are improved to the normal level by speaker clustering centered around each low performance speaker.
URL: https://global.ieice.org/en_transactions/information/10.1587/e84-d_3_374/_p

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@ARTICLE{e84-d_3_374,
author={Hisashi KAWAI, Tohru SHIMIZU, Norio HIGUCHI, },
journal={IEICE TRANSACTIONS on Information},
title={Recognition of Connected Digit Speech in Japanese Collected over the Telephone Network},
year={2001},
volume={E84-D},
number={3},
pages={374-383},
abstract={This paper describes experimental results on whole word HMM-based speech recognition of connected digits in Japanese with special focus on the training data size and the "sheep and goats" problem. The training data comprises 757000 digits uttered by 2000 speakers, while the testing data comprises 399000 digits uttered by 1700 speakers. The best word error rate for unknown length strings was 1.64% obtained using context dependent HMMs. The word error rate was measured for various subsets of the training data reduced both in the number of speakers (s) and the number of utterances per speakers (u). As a result, an empirical formula of s[{min(0.62s^0.75, u)}^0.74 + {max(0, u-0.62s^0.75)}^0.27] = D(E_w) was developed, where E_w and D(E_w) designate word error rate and effective data size, respectively. Analyses were conducted on several aspects of the low performance speakers accounting for the major part of recognition errors. Attempts were also made to improve their recognition performance. It was found that 33% of the low performance speakers are improved to the normal level by speaker clustering centered around each low performance speaker.},
keywords={},
doi={},
ISSN={},
month={March},}

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TY - JOUR
TI - Recognition of Connected Digit Speech in Japanese Collected over the Telephone Network
T2 - IEICE TRANSACTIONS on Information
SP - 374
EP - 383
AU - Hisashi KAWAI
AU - Tohru SHIMIZU
AU - Norio HIGUCHI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E84-D
IS - 3
JA - IEICE TRANSACTIONS on Information
Y1 - March 2001
AB - This paper describes experimental results on whole word HMM-based speech recognition of connected digits in Japanese with special focus on the training data size and the "sheep and goats" problem. The training data comprises 757000 digits uttered by 2000 speakers, while the testing data comprises 399000 digits uttered by 1700 speakers. The best word error rate for unknown length strings was 1.64% obtained using context dependent HMMs. The word error rate was measured for various subsets of the training data reduced both in the number of speakers (s) and the number of utterances per speakers (u). As a result, an empirical formula of s[{min(0.62s^0.75, u)}^0.74 + {max(0, u-0.62s^0.75)}^0.27] = D(E_w) was developed, where E_w and D(E_w) designate word error rate and effective data size, respectively. Analyses were conducted on several aspects of the low performance speakers accounting for the major part of recognition errors. Attempts were also made to improve their recognition performance. It was found that 33% of the low performance speakers are improved to the normal level by speaker clustering centered around each low performance speaker.
ER -