상세정보
학술지
Development of an Optimized Feature Extraction Algorithm for Throat Signal Analysis
- 발행일
- 200706
- 출처
- ETRI Journal, v.29 no.3, pp.292-299
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 06MH1900, 네트워크 기반 실감형 서비스를 위한 오감정보처리 기술개발, 박준석
- 초록
- In this paper, we present a speech recognition system using a throat microphone. The use of this kind of microphone minimizes the impact of environmental noise. Due to the absence of high frequencies and the partial loss of formant frequencies, previous systems using throat microphones have shown a lower recognition rate than systems which use standard microphones. To develop a high performance automatic speech recognition (ASR) system using only a throat microphone, we propose two methods. First, based on Korean phonological feature theory and a detailed throat signal analysis, we show that it is possible to develop an ASR system using only a throat microphone, and propose conditions of the feature extraction algorithm. Second, we optimize the zerocrossing with peak amplitude (ZCPA) algorithm to guarantee the high performance of the ASR system using only a throat microphone. For ZCPA optimization, we propose an intensification of the formant frequencies and a selection of cochlear filters. Experimental results show that this system yields a performance improvement of about 4% and a reduction in time complexity of 25% when compared to the performance of a standard ZCPA algorithm on throat microphone signals.
- KSP 제안 키워드
- Formant frequencies, High Frequency(HF), High performance, Peak amplitude, Recognition rate, Signal analysis, Speech recognition system, Time Complexity, automatic speech recognition(ASR), cochlear filters, environmental noise