IEICE TRANSACTIONS on Fundamentals
Efficient Genetic Algorithm of Codebook Design for Text-Independent Speaker Recognition
Summary :
This letter presents text-independent speaker identification results for telephone speech. A speaker identification system based on Karhunen-Loeve transform (KLT) derived from codebook design using genetic algorithm (GA) is proposed. We have combined genetic algorithm (GA) and the vector quantization (VQ) algorithm to avoid typical local minima for speaker data compression. Identification accuracies of 91% were achieved for 100 Mandarin speakers.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.11 pp.2529-2531
- Publication Date
- 2002/11/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- LETTER
- Category
- Speech and Hearing
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Keyword
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Chih-Chien Thomas CHEN, Chin-Ta CHEN, Shung-Yung LUNG, "Efficient Genetic Algorithm of Codebook Design for Text-Independent Speaker Recognition" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 11, pp. 2529-2531, November 2002, doi: .
Abstract: This letter presents text-independent speaker identification results for telephone speech. A speaker identification system based on Karhunen-Loeve transform (KLT) derived from codebook design using genetic algorithm (GA) is proposed. We have combined genetic algorithm (GA) and the vector quantization (VQ) algorithm to avoid typical local minima for speaker data compression. Identification accuracies of 91% were achieved for 100 Mandarin speakers.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_11_2529/_p
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@ARTICLE{e85-a_11_2529,
author={Chih-Chien Thomas CHEN, Chin-Ta CHEN, Shung-Yung LUNG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Efficient Genetic Algorithm of Codebook Design for Text-Independent Speaker Recognition},
year={2002},
volume={E85-A},
number={11},
pages={2529-2531},
abstract={This letter presents text-independent speaker identification results for telephone speech. A speaker identification system based on Karhunen-Loeve transform (KLT) derived from codebook design using genetic algorithm (GA) is proposed. We have combined genetic algorithm (GA) and the vector quantization (VQ) algorithm to avoid typical local minima for speaker data compression. Identification accuracies of 91% were achieved for 100 Mandarin speakers.},
keywords={},
doi={},
ISSN={},
month={November},}
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TY - JOUR
TI - Efficient Genetic Algorithm of Codebook Design for Text-Independent Speaker Recognition
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2529
EP - 2531
AU - Chih-Chien Thomas CHEN
AU - Chin-Ta CHEN
AU - Shung-Yung LUNG
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2002
AB - This letter presents text-independent speaker identification results for telephone speech. A speaker identification system based on Karhunen-Loeve transform (KLT) derived from codebook design using genetic algorithm (GA) is proposed. We have combined genetic algorithm (GA) and the vector quantization (VQ) algorithm to avoid typical local minima for speaker data compression. Identification accuracies of 91% were achieved for 100 Mandarin speakers.
ER -
English
