Optimizing feature extraction for English word recognition

Euisun Choi; Donghoon Hyun; Chulhee Lee

doi:10.1109/icassp.2002.5743863

Optimizing feature extraction for English word recognition

Euisun Choi, Donghoon Hyun, Chulhee Lee

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

Abstract

In this paper, we investigate the possibility to improve the recognition accuracy of English words by optimizing feature extraction. The optimization method is based on the simplex algorithm. Although the mel-cepstrum obtained by the critical band filters reflects the human auditory perception, it may not be the optimal features for speech recognition. In this paper, we show that the mel-cepstrum can be optimized in terms of recognition accuracy by adjusting the center frequencies and bandwidths of the critical filters. Experiments with English words showed that the optimized filter bank provide a noticeable performance improvement.

Original language	English
Pages (from-to)	I/813-I/816
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	1
DOIs	https://doi.org/10.1109/icassp.2002.5743863
Publication status	Published - 2002
Event	2002 IEEE International Conference on Acustics, Speech, and Signal Processing - Orlando, FL, United States Duration: 2002 May 13 → 2002 May 17

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

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10.1109/icassp.2002.5743863

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title = "Optimizing feature extraction for English word recognition",

abstract = "In this paper, we investigate the possibility to improve the recognition accuracy of English words by optimizing feature extraction. The optimization method is based on the simplex algorithm. Although the mel-cepstrum obtained by the critical band filters reflects the human auditory perception, it may not be the optimal features for speech recognition. In this paper, we show that the mel-cepstrum can be optimized in terms of recognition accuracy by adjusting the center frequencies and bandwidths of the critical filters. Experiments with English words showed that the optimized filter bank provide a noticeable performance improvement.",

author = "Euisun Choi and Donghoon Hyun and Chulhee Lee",

year = "2002",

doi = "10.1109/icassp.2002.5743863",

language = "English",

volume = "1",

pages = "I/813--I/816",

journal = "Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "2002 IEEE International Conference on Acustics, Speech, and Signal Processing ; Conference date: 13-05-2002 Through 17-05-2002",

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TY - JOUR

T1 - Optimizing feature extraction for English word recognition

AU - Choi, Euisun

AU - Hyun, Donghoon

AU - Lee, Chulhee

PY - 2002

Y1 - 2002

N2 - In this paper, we investigate the possibility to improve the recognition accuracy of English words by optimizing feature extraction. The optimization method is based on the simplex algorithm. Although the mel-cepstrum obtained by the critical band filters reflects the human auditory perception, it may not be the optimal features for speech recognition. In this paper, we show that the mel-cepstrum can be optimized in terms of recognition accuracy by adjusting the center frequencies and bandwidths of the critical filters. Experiments with English words showed that the optimized filter bank provide a noticeable performance improvement.

AB - In this paper, we investigate the possibility to improve the recognition accuracy of English words by optimizing feature extraction. The optimization method is based on the simplex algorithm. Although the mel-cepstrum obtained by the critical band filters reflects the human auditory perception, it may not be the optimal features for speech recognition. In this paper, we show that the mel-cepstrum can be optimized in terms of recognition accuracy by adjusting the center frequencies and bandwidths of the critical filters. Experiments with English words showed that the optimized filter bank provide a noticeable performance improvement.

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DO - 10.1109/icassp.2002.5743863

M3 - Conference article

AN - SCOPUS:0036289787

SN - 0736-7791

VL - 1

SP - I/813-I/816

JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing

T2 - 2002 IEEE International Conference on Acustics, Speech, and Signal Processing

Y2 - 13 May 2002 through 17 May 2002

ER -

Optimizing feature extraction for English word recognition

Abstract

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