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서지반출
A New Hearing Aid Algorithm for Speech Discrimination using ICA and Multi-band Loudness Compensation
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  • A New Hearing Aid Algorithm for Speech Discrimination using ICA and Multi-band Loudness Compensation
  • A New Hearing Aid Algorithm for Speech Discrimination using ICA and Multi-band Loudness Compensation
저자명
Lee. Sangmin,Won. Jong Ho,Park. Hyung Min,Hong. Sung Hwa,Kim. In Young,Kim. Sun I.
간행물명
Journal of biomedical engineering research : the official journal of the Korean Society of Medical & Biological Engineering
권/호정보
2005년|26권 3호|pp.177-184 (8 pages)
발행정보
대한의용생체공학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

In this paper, we proposed a new hearing aid algorithm to improve SNR(signal to noise ratio) of noisy speech signal and speech perception. The proposed hearing aid algorithm is a multi-band loudness compensation based independent component analysis (ICA). The proposed algorithm was compared with a conventional spectral subtraction algorithm on behind-the-ear type hearing aid. The proposed algorithm successfully separated a target speech signal from background noise and from a mixture of the speech signals. The algorithms were compared each other by means of SNR. The average improvement of SNR by ICA based algorithm was 16.64dB, whereas spectral subtraction algorithm was 8.67dB. From the clinical tests, we concluded that our proposed algorithm would help hearing aid user to hear clearly a target speech in noisy conditions.