DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Kil, Rhee-Man | - |
dc.contributor.advisor | 길이만 | - |
dc.contributor.author | Park, Sang-Kyoon | - |
dc.contributor.author | 박상균 | - |
dc.date.accessioned | 2011-12-14T04:55:54Z | - |
dc.date.available | 2011-12-14T04:55:54Z | - |
dc.date.issued | 2007 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=264924&flag=dissertation | - |
dc.identifier.uri | http://hdl.handle.net/10203/42160 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 응용수학전공, 2007.2, [ v, 29 p. ] | - |
dc.description.abstract | Automatic speech recognition (ASR) system has been developed over several decades. Although many researchers have found numerous methodologies for improving its performance, the speech processing in noisy environments remains as a difficult problem in this field. One of the solutions is using neck-microphones which are not affected by the environmental noises. However, neck-microphones distort the original voice signals since they only capture the vibrations of vocal tracts. In this context, we consider a method of enhancing features of neck-microphone signals using zero-crossings. Furthermore, we also consider using the concept of gray level co-occurrence matrix (GLCM) which has been usually used for image processing like texture analysis. In this paper, the GLCM is applied to find the suitable zero-crossing features for speech recognition. Through the simulation for speech recognition using the neck-microphone voice command system, we have shown the suggested method provides the better performance than other approaches using conventional speech features. | eng |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | FLCM | - |
dc.subject | neck-microphone | - |
dc.subject | ZCPA | - |
dc.subject | ASR | - |
dc.subject | 주파수 전이 행렬 | - |
dc.subject | 자동음성인식 시스템 | - |
dc.subject | 성대마이크 | - |
dc.subject | 영교차 알고리즘 | - |
dc.title | Zero crossing based feature extraction for a voice command system using neck microphone | - |
dc.title.alternative | 영점 교차 알고리즘을 이용한 성대 음성인식의 특징추출 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 264924/325007 | - |
dc.description.department | 한국과학기술원 : 응용수학전공, | - |
dc.identifier.uid | 020053211 | - |
dc.contributor.localauthor | Kil, Rhee-Man | - |
dc.contributor.localauthor | 길이만 | - |
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