The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Un nouveau paramètre de fonctionnalité basé sur une transformée en ondelettes discrète est proposé pour la détection des limites de mots d'énoncés isolés. La somme de l'écart type des coefficients d'ondelettes dans la troisième échelle détaillée grossière et pondérée est définie comme un nouveau paramètre caractéristique pour la détection du point final. Les résultats expérimentaux démontrent la supériorité de la fonctionnalité proposée par rapport aux fonctionnalités conventionnelles pour capturer les limites des mots, même dans un discours bruyant.
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Jong Won SEOK, Keun Sung BAE, "A Novel Endpoint Detection Using Discrete Wavelet Transform" in IEICE TRANSACTIONS on Information,
vol. E82-D, no. 11, pp. 1489-1491, November 1999, doi: .
Abstract: A new feature parameter based on a discrete wavelet transform is proposed for word boundary detection of isolated utterances. The sum of standard deviation of wavelet coefficients in the third coarse and weighted first detailed scale is defined as a new feature parameter for endpoint detection. Experimental results demonstrate the superiority of the proposed feature to the conventional ones in capturing word boundaries even in noisy speech.
URL: https://global.ieice.org/en_transactions/information/10.1587/e82-d_11_1489/_p
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@ARTICLE{e82-d_11_1489,
author={Jong Won SEOK, Keun Sung BAE, },
journal={IEICE TRANSACTIONS on Information},
title={A Novel Endpoint Detection Using Discrete Wavelet Transform},
year={1999},
volume={E82-D},
number={11},
pages={1489-1491},
abstract={A new feature parameter based on a discrete wavelet transform is proposed for word boundary detection of isolated utterances. The sum of standard deviation of wavelet coefficients in the third coarse and weighted first detailed scale is defined as a new feature parameter for endpoint detection. Experimental results demonstrate the superiority of the proposed feature to the conventional ones in capturing word boundaries even in noisy speech.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - A Novel Endpoint Detection Using Discrete Wavelet Transform
T2 - IEICE TRANSACTIONS on Information
SP - 1489
EP - 1491
AU - Jong Won SEOK
AU - Keun Sung BAE
PY - 1999
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E82-D
IS - 11
JA - IEICE TRANSACTIONS on Information
Y1 - November 1999
AB - A new feature parameter based on a discrete wavelet transform is proposed for word boundary detection of isolated utterances. The sum of standard deviation of wavelet coefficients in the third coarse and weighted first detailed scale is defined as a new feature parameter for endpoint detection. Experimental results demonstrate the superiority of the proposed feature to the conventional ones in capturing word boundaries even in noisy speech.
ER -