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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2013.1
- 수록면
- 219 - 225 (7page)
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초록· 키워드
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This paper presents a method using Maximum-Likelihood Linear Regression (MLLR) adaptation to improve recognition performance of Limabeam algorithm for speech recognition using microphone array. From our investigation on Limabeam algorithm, we can see that the performance of filtering optimization depends strongly on the supporting optimal state sequence and this sequence is created by using Viterbi algorithm trained with HMM model. So we propose an approach using MLLR adaptation for the recognition of speech uttered in a new environment to obtain better optimal state sequence that support for the filtering parameters' optimal step. Experimental results show that the system embedded with MLLR adaptation presents the word correct recognition rate 2% higher than that of original calibrate Limabeam and also present 7% higher than that of Delay and Sum algorithm. The best recognition accuracy of 89.4% is obtained when we use 4 microphones with 5 utterances for adaptation.
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참고문헌 (9)
참고문헌 신청
A. J. Viterbi / 1967 / Error bounds for convolutional codes and an asymptotically optimum decoding algorithm / IEEE Transactions on Information Theory 13 (2) : 260 ~ 267
D.C. Nguyen / 2010 / Performance Improvement of Microphone Array Speech Recognition using Feature Weighted Mahalanobis Distance / The Journal of the Acoustical Society of Kor
I.A. McCowan / 2002 / Microphone array post-filter for diffuse noise filed / Proceeding of International Conference on Acoustics, Speech, and Signal Processing 1 : 905 ~ 908
L.J. Griffiths / 1982 / An alternative approach to linerly constrained adaptive beamforming / IEEE Transaction on Antennas and Propagation AP-30 (1) : 27 ~ 34
M. Wolfel / 2005 / Feature weighted Mahalanobis distance: improved robustness for gauusian classifiers / Proceedings on European Signal Processing conference
D.C. Nguyen / 2010 / Performance Improvement of Microphone Array Speech Recognition using Feature Weighted Mahalanobis Distance / The Journal of the Acoustical Society of Kor
I.A. McCowan / 2002 / Microphone array post-filter for diffuse noise filed / Proceeding of International Conference on Acoustics, Speech, and Signal Processing 1 : 905 ~ 908
L.J. Griffiths / 1982 / An alternative approach to linerly constrained adaptive beamforming / IEEE Transaction on Antennas and Propagation AP-30 (1) : 27 ~ 34
M. Wolfel / 2005 / Feature weighted Mahalanobis distance: improved robustness for gauusian classifiers / Proceedings on European Signal Processing conference
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