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
Parameter ciri baharu berdasarkan transformasi wavelet diskret dicadangkan untuk pengesanan sempadan perkataan bagi sebutan terpencil. Jumlah sisihan piawai pekali wavelet dalam skala terperinci pertama kasar dan berwajaran ketiga ditakrifkan sebagai parameter ciri baharu untuk pengesanan titik akhir. Keputusan eksperimen menunjukkan keunggulan ciri yang dicadangkan berbanding ciri konvensional dalam menangkap sempadan perkataan walaupun dalam pertuturan yang bising.
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Salinan
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
Salinan
@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},}
Salinan
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 -