A Study on the Self-voice Suppression Algorithm in a ZigBee CROS Hearing Aid

지그비 크로스 보청기에서의 자기음성 억제 알고리즘 연구

  • 임원진 (인하대학교 전자공학과) ;
  • 고영환 ((주)에치티아이) ;
  • 전유용 (인하대학교 전자공학과) ;
  • 길세기 (체육과학연구원) ;
  • 윤광섭 (인하대학교 전자공학과 정보전자공동 연구소) ;
  • 이상민 (인하대학교 전자공학과 정보전자공동 연구소)
  • Published : 2009.09.30

Abstract

In this study, we developed a wireless CROS(contralateral routing of signal) hearing aid for unilateral impaired people. CROS hearing aid takes sound from an ear with poorer hearing and transmit to another ear with better hearing. Generally, the self-voice delivered through the receiver of CROS hearing aid can be very loud. It is hard to perceive target speech because of loud self-voice. To compensate it, a self-voice suppression algorithm has been developed. we performed SDT(speech discrimination test) for evaluation of the self-voice suppression algorithm. One-syllable words was used as test speech and recorded with self-voice at a 1m distance. As the results, SDT score was improved about 11% when the self-voice suppression algorithm was processed. It is verified that the self-voice suppression algorithm helps speech perception at a time to communicate with others.

본 연구에서는 편측성 난청인을 위한 저전력 무선통신인 지그비를 이용해 청력이 나쁜 쪽 귀의 소리를 청력이 좋은 쪽 귀로 전송해주는 무선 크로스 보청기를 설계하였다. 일반적으로 크로스 보청기에서는 자기목소리가 크게 려 상대방 음성인식에 영향을 줄 수 있다. 이를 방지하고자 본 연구에서는 자기음성억제 알고리즘을 제안한다. 자기음성억제 알고리즘의 성능평가를 확인하기 위하여 어음명료도검사를 하였다. 실험데이터는 1m 거리의 상대음성인 1음절단어 세트와 자기음성을 함께 녹음한 것을 사용하였다. 그 결과, 어음명료도검사에서 자기음성억제 알고리즘 적용 시 SDT값이 약 11%가량 증가였다. 즉, 자기음성억제 알고리즘이 동시 대화 시 상대방 음성인식 향상에 도움이 된다는 결과를 얻었다.

Keywords

References

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