A Novel Endpoint Detection Using Discrete Wavelet Transform
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Information Vol.E82-D No.11 pp.1489-1491
- Publication Date
- 1999/11/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Speech Processing and Acoustics
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
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
Copy
@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},}
Copy
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 -
English
