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- 저자 : Yuyong Jeon (검색결과 6 건)
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Strategy of formant enhancement in digital hearing aid
Yuyong Jeon,Dong-hyeouck Bang,Dong-gwon Yang,Sangmin Lee 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
Digital hearing aid users often complain of difficulty in understanding speech in the presence of background noise. Various speech enhancement and SNR improvement algorithms have been applied in digital hearing aids for improving speech perception in the noisy environment. Although those speech enhancements are good for someone, these can be not good for someone else. It can be because masking patterns of each people are different, and masking between formants of speech can be occurred by the formant which enhanced excessively. By enhanced formants for improving speech perception, other formants can be masked. In a word, to perform the excessive speech enhancement by digital hearing aids would be not able to improve speech perception. By this reason, for each person, to know about quantity of formant enhancement that masking is started, to check the masking pattern is required to hearing aid users. In this study, to define the limit of quantity of formant enhancement fitting to each person, we tested with the formant enhanced speech, and tried to find a level difference that masking is started between first formant and second formant using the hearing impaired and normal hearing people. The test is composed of 5 steps; puretone test, speech reception threshold (SRT), word recognition test (WRT), puretone masking test and speech masking test. We confirmed the masking effect by enhanced formants in the speech.
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전유용(Yuyong Jeon),이상민(Sangmin Lee) 대한전기학회 2010 전기학회논문지 Vol.59 No.6
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.
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디지털 보청기에서의 포먼트 강조에 의한 마스킹 효과 연구
전유용(Yuyong Jeon),길세기(Se-kee Kil),윤광섭(Kwang-sub Yoon),이상민(Sangmin Lee) 대한전자공학회 2008 電子工學會論文誌-SC (System and control) Vol.45 No.5
청력 손실을 보상하고 난청인이 다른 사람들과 대화할 수 있도록 디지털 보청기 알고리즘은 개발 되어 왔음에도 불구하고, 디지털 보청기 사용자들은 음성을 듣는데 어려움이 있다고 불만을 토로한다. 그 이유는 피드백이나 잔여 노이즈 등에 의해 디지털 보청기를 통한 음성의 질이 이해하기에 불충분하기 때문이다. 또 다른 이유로 포먼트들 사이에서 일어나는 마스킹 현상이 될 수 있다. 이 연구에서 정상 청각 피험자와 노인성 난청을 갖고 있는 난청인 피험자의 마스킹 특성을 측정하여 음성에서의 마스킹에 의한 음성 인지 저하를 확인하기 위한 실험을 하였다. 실험은 순음검사, 어음 청취 역치 검사, 낱말 분별력 검사, 순음 마스킹 검사, 어음 마스킹 검사의 5개 테스트로 이루어졌다. 어음 마스킹 검사에서 각각 어음 세트에 25개의 어음이 사용되었다. 각 어음의 왜곡을 객관적으로 평가하기 위해서 log likelihood ratio (LLR)를 도입하였다. 결과적으로 포먼트 향상의 양을 늘리면 늘릴수록 어음 인지는 낮아졌고, 각 어음 세트에서 각각의 향상된 어음은 통계적으로 비슷한 LLR을 갖지만 어음인지는 그렇지 않게 나타났다. 이것은 왜곡이 아닌 음향 마스킹이 어음 인지에 영향을 준다는 것을 의미한다. 실제로 피험자들 대부분이 맞추지 못한 음성을 주파수 분석한 결과 첫 번째와 두 번째 포먼트 사이의 레벨 차이가 약 35dB이며 이는 순음 마스킹 실험 결과(정상 청각 피험자:36.36dB, 난청인 피험자:32.86dB)와 비슷한 양상을 보였다. 실험 결과에서 볼 수 있듯이 음향마스킹의 특성은 정상 청각인과 난청인 사이에서 다르게 나타난다. 그렇기 때문에 보청기 착용 전 마스킹 특성을 검사하고, 피팅 시에 적용해야 한다. Although digital hearing aid algorithms have been developed to compensate hearing loss and to help hearing impaired people to communicate with others, digital hearing aid user still complain about difficulty of hearing the speech. The reason could be the quality of speech through digital hearing aid is insufficient to understand the speech caused by feedback, residual noise and etc. And another thing is masking effect among formants that makes sound quality low. In this study, we measured the masking characteristics of normal listeners and hearing impaired listeners having presbyacusis to confirm masking effect in speech itself. The experiment is composed of 5 tests; pure tone test, speech reception threshold (SRT) test, word recognition score (WRS) test, puretone masking test and speech masking test. In speech masking test, there are 25 speeches in each speech set. And log likelihood ratio (LLR) is introduced to evaluate the distortion of each speech objectively. As a result, the speech perception became lower by increasing the quantity of formant enhancement. And each enhanced speech in a speech set has statistically similar LLR, however speech perception is not. It means that acoustic masking effect rather than distortion influences speech perception. In actuality, according to the result of frequency analysis of the speech that people can not answer correctly, level difference between first formant and second formant is about 35dB, and it is similar to result of pure tone masking test(normal hearing subject:36.36dB, hearing impaired subject:32.86dB). Characteristics of masking effect is not similar between normal listeners and hearing impaired listeners. So it is required to check the characteristics of masking effect before wearing a hearing aid and to apply this characteristics to fitting.
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