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Speech Recognition using Spectral Information under Noisy Environments

Journal of Knowledge Information Technology and Systems
Abbr : JKITS
2010, 5(5), pp.163-169

Publisher : Korea Knowledge Information Technology Society
Research Area : Interdisciplinary Research

Published : October 31, 2010

이광석 ¹, 김현주 ¹

¹진주산업대학교

ABSTRACT
열림/닫힘 버튼

This research is concerned for improving the result of speech recognition under the noisy speech. We knew that spectral subtraction and recovery of valleys in spectral envelope obtained from noisy speech are more effective for the improvement of the recognition. In this research, the averaged spectral envelope obtained from vowel spectrums are used for the emphasis of valleys. The vocalic spectral information at lower frequency range is emphasized and the spectrum obtained from consonants is not changed. In simulation, the emphasis coefficients are varied on cepstral domain. This method is used for the recognition of noisy digits and is improved well.
KEYWORDS
열림/닫힘 버튼

Speech Recognition, Noisy Speech Processing, Spectral Envelope, Emphasis Coefficient

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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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[journal] J-W. Hung / 2001 / New Approaches for Domain Transformation and Parameter Combination for Improved Accuracy in Parallel Model Combination (PMC) Techniques / IEEE Trans. Speech and Audio Processing 9(8) : 842~855

[confproc] Kamath, S. / 2002 / A Multiband Spectral Subtraction Method for Enhancing Speech Corrupted by Colored Noise / Proc. IEEE Int. Conf. Acoust., Speech Signal Processing : 101~111

[journal] Kim, N.S. / 2003 / Speech Recognition under Noisy Environments / 나 Telecommunications Review : 650~661

[web] ESTI Drafr Standard Doc. Speech Processing / Transmission and Quality Aspects (STQ); Distributed Speech Recognition; Front-end Feature Extraction Algorithms; Compression Algorithm / http://pda.eti.org/pda/queryform.asp