잡음에 강인한 음원 방향 검지 시스템을 위한 잡음제거와 음성검출기에 관한 분석
- 주제(키워드) 음원 방향 검지 , 잡음제거 , Voice Activity Detection
- 발행기관 고려대학교 대학원
- 지도교수 고한석
- 발행년도 2014
- 학위수여년월 2014. 8
- 학위구분 석사
- 학과 일반대학원 전기전자전파공학과
- 세부전공 신호처리 및 멀티미디어
- 원문페이지 59 p
- 실제URI http://www.dcollection.net/handler/korea/000000051595
- 본문언어 한국어
- 제출원본 000045808687
초록/요약
Human-robot interaction or human-robot communication based on audio techniques has been continuously studied for a long time. However, the sound system has been recently applied to appliances in real life. And the performance is not good in real noisy environment, although the sound system can be conducted well in quiet environments. So, this paper proposes to detect the direction of a person (speaker) who is calling the cleaning robot while it is operating. In addition, this study has the possibility to be transplanted to other appliances, because it is handling heavy noises the cleaning robot makes during the vacuum operation. The lowest level of the SNR (Signal to Noise Ratio) in this experiment is -7dB. For this implementation, Speech Distortion Weighted Multi-channel Wiener filter (SDW-MWF) and Karhunen-Loeve Transform (KLT) based filter are used to remove the cleaning robot noises. And a voice activity detection (VAD) technique using the Band-pass filter and the harmonic characteristics estimates the frames including human voices. In addition, Phase Difference of Arrival (PDOA) is applied to find out the direction of speaker. Finally, the result of this experiment presents the enhanced performance of the sound source localization in corrupted environments.
more목차
1. 서론
1.1 연구 배경
1.2 연구 내용
1.3 연구의 기여도
1.4 논문의 구성
2. 잡음제거 시스템
2.1 단일채널 잡음제거 알고리즘
2.1.1 KLT based filter
2.2 다채널 잡음제거 알고리즘
2.2.1 Multi-channel Wiener filter
2.2.2 Speech Distortion Weighted Multi-channel Wiener filter
3. 음원 방향 검지 시스템
3.1 Voice Activity Detection(VAD)
3.1.1 제안된 VAD알고리즘
3.2 Phase difference of arrival(PDOA)
4. 실험 환경 및 실험 결과
4.1 실험 환경
4.2 실험 구성
4.3 실험 결과
5. 결론
참고문헌
