Spoken Document Retrieval Based on Phone Sequence Strings Decoded by PVDHMM

PVDHMM을 이용한 음소열 기반의 SDR 응용

  • 최대림 (음성정보기술산업지원센터) ;
  • 김봉완 (음성정보기술산업지원센터) ;
  • 김종교 (전북대학교 전자정보공학부) ;
  • 이용주 (원광대학교 전기 전자 및 정보공학부, 음성정보기술산업지원센터)
  • Published : 2007.06.30


In this paper, we introduce a phone vector discrete HMM(PVDHMM) that decodes a phone sequence string, and demonstrates the applicability to spoken document retrieval. The PVDHMM treats a phone recognizer or large vocabulary continuous speech recognizer (LVCSR) as a vector quantizer whose codebook size is equal to the size of its phone set. We apply the PVDHMM to decode the phone sequence strings and compare the outputs with those of a continuous speech recognizer(CSR). Also we carry out spoken document retrieval experiment through PVDHMM word spotter on the phone sequence strings which are generated by phone recognizer or LVCSR and compare its results with those of retrieval through the phone-based vector space model.