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In the speech system, for example hearing aid as well as speech communication, speech quality is degraded by environmental noise. In this study, to enhance the speech quality which is degraded by environmental speech, we proposed an algorithm to reduce the noise and reinforce the speech. The minima controlled recursive averaging (MCRA) algorithm is used to estimate the noise spectrum and spectral weighting factor is used to reduce the noise. And partial masking effect which is one of the human hearing properties is introduced to reinforce the speech. Then we compared the waveform, spectrogram, Perceptual Evaluation of Speech Quality (PESQ) and segmental Signal to Noise Ratio (segSNR) between original speech, noisy speech, noise reduced speech and enhanced speech by proposed method. As a result, enhanced speech by proposed method is reinforced in high frequency which is degraded by noise, and PESQ, segSNR is enhanced. It means that the speech quality is enhanced.
목차
Abstract
1. 서론
2. 음성 향상 기법 (speech enhancement method)
3. 알고리즘 평가 및 결과
4. 결론
감사의 글
참고문헌
저자소개
참고문헌 (16)
참고문헌 신청
1. [학술지(정기간행물)] - Cohen I. / 2002 / Noise estimation by Minima Controlled Recursive Averaging for Robust Speech Enhancement / IEEE signal processing letter 9 (1) : 12 ~ 15
2. [학술지(정기간행물)] - Cohen I. / 2003 / Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging / IEEE Transactions on Speech and Audio Processing 11 (5) : 466 ~ 475
3. [학술대회논문] - N. Fan / 2007 / Speech noise estimation using enhanced minima controlled recursive averaging / ICASSP : 581 ~ 584
4. [학술대회논문] - V. Stouten / 2006 / Application of minimum statistics and minima controlled recursive averaging methods to estimate a cepstral noise model for robust ASR / ICASSP : 765 ~ 768
5. [학술지(정기간행물)] - Young Woo Lee / 2007 / An Efficient Speech Enhancement Algorithm for Digital Hearing Aids Based on Modified Spectral Subtraction and Companding / IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E90-A (8) : 1628 ~ 1635
2. [학술지(정기간행물)] - Cohen I. / 2003 / Noise spectrum estimation in adverse environments: improved minima controlled recursive averaging / IEEE Transactions on Speech and Audio Processing 11 (5) : 466 ~ 475
3. [학술대회논문] - N. Fan / 2007 / Speech noise estimation using enhanced minima controlled recursive averaging / ICASSP : 581 ~ 584
4. [학술대회논문] - V. Stouten / 2006 / Application of minimum statistics and minima controlled recursive averaging methods to estimate a cepstral noise model for robust ASR / ICASSP : 765 ~ 768
5. [학술지(정기간행물)] - Young Woo Lee / 2007 / An Efficient Speech Enhancement Algorithm for Digital Hearing Aids Based on Modified Spectral Subtraction and Companding / IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E90-A (8) : 1628 ~ 1635
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