지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
Speech enhancement aims to improve speech quality by removing background noise from noisy speech. Independent vector analysis is a type of frequency-domain independent component analysis method that is known to be free from the frequency bin permutation problem in the process of blind source separation from multi-channel inputs. This paper proposed a new method of microphone array based speech enhancement that combines independent vector analysis and beamforming techniques. Independent vector analysis is used to separate speech and noise components from multi-channel noisy speech, and delay-sum beamforming is used to determine the enhanced speech among the separated signals. To verify the effectiveness of the proposed method, experiments for computer simulated multi-channel noisy speech with various signal-to-noise ratios were carried out, and both PESQ and output signal-to-noise ratio were obtained as objective speech quality measures. Experimental results have shown that the proposed method is superior to the conventional microphone array based noise removal approach like GSC beamforming in the speech enhancement.
목차
ABSTRACT
1. 서론
2. IVA를 이용한 다채널 잡음음성의 음질개선
3. 실험 및 검토
4. 결론
참고문헌
참고문헌 (9)
참고문헌 신청
1. [학술지(정기간행물)] - Ephraim, Y. / 1984 / Speech enhancement usinga minimum-mean square error short-time spectral amplitudeestimator, Acoustics, Speech and Signal Processing / IEEETransactions on 32 : 1109 ~ 1121
2. [단행본] - Benesty, J. / 2008 / Microphone array signal processing / Springer Verlag
3. [단행본] - Hyvarinen, A. / 2001 / Independentcomponent analysis / Wiley
4. [단행본] - Haykin, S. / 2009 / Neural networks and learning machines / Pearson Prentice Hall
5. [학술대회논문] - Asano, F. / 2001 / A combined approach of array processing andindependent component analysis for blind separation of acousticsignals / in Proc.IEEE Int. Conf. Acoust., Speech SignalProcess : 2729 ~ 2732
2. [단행본] - Benesty, J. / 2008 / Microphone array signal processing / Springer Verlag
3. [단행본] - Hyvarinen, A. / 2001 / Independentcomponent analysis / Wiley
4. [단행본] - Haykin, S. / 2009 / Neural networks and learning machines / Pearson Prentice Hall
5. [학술대회논문] - Asano, F. / 2001 / A combined approach of array processing andindependent component analysis for blind separation of acousticsignals / in Proc.IEEE Int. Conf. Acoust., Speech SignalProcess : 2729 ~ 2732
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UCI(KEPA) : I410-ECN-0101-2014-701-000640012