- 심리음향 특성을 이용한 음성 향상 알고리즘
- ㆍ 저자명
- 전유용,이상민,Jeon. Yu-Yong,Lee. Sang-Min
- ㆍ 간행물명
- 전기학회논문지= The Transactions of the Korean Institute of Electrical Engineers
- ㆍ 권/호정보
- 2010년|59권 6호|pp.1120-1125 (6 pages)
- ㆍ 발행정보
- 대한전기학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
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.