Open-vocabulary spoken-document retrieval based on query expansion using related web documents

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

Volumn , Issue , 2008, Pages 2171-2174

  Terao, Makoto ^a   Koshinaka, Takafumi ^a   Ando, Shinichi ^a   Isotani, Ryosuke ^a   Okumura, Akitoshi ^a  

^a NEC CORPORATION   (Japan)

Author keywords

Large vocabulary continuous speech recognition; Query expansion; Spoken document retrieval; Text segmentation; Web documents

Indexed keywords

LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION; QUERY EXPANSION; SPOKEN DOCUMENT RETRIEVAL; TEXT SEGMENTATION; WEB DOCUMENT;

CHARACTER RECOGNITION; CONTINUOUS SPEECH RECOGNITION; EXPANSION; SPEECH COMMUNICATION; SPEECH PROCESSING; VOCABULARY CONTROL; WORLD WIDE WEB;

INFORMATION RETRIEVAL;

EID: 84865709671     PISSN: None     EISSN: 19909772     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. K. Iwata, Y. Itoh, K. Kojima, M. Ishigame, K. Tanaka, and S. Lee, "Open-vocabulary spoken document retrieval based on new subword models and subword phonetic similarity," INTERSPEECH2006, pp.325-328, 2006.
2. H. Nishizaki and S. Nakagawa, "Robust spoken document retrieval methods for misrecognition and out-of-vocabulary keywords," Systems and Computers in Japan, pp.44-53, 2004.
3. T. Hori, I. L. Hetherington, T. J. Hazen, and J. R. Glass, "Open-vocabulary spoken utterance retrieval using confusion networks," ICASSP2007, pp.73-76, 2007.
4. K. Shinoda and C. H. Lee, "A structural Bayes approach to speaker adaptation," IEEE Trans. Speech Audio Processing, pp.276-287, 2001.
5. T. Koshinaka et al., "An HMM-based text segmentation method using variational Bayes approach and its application to LVCSR for broadcast news," ICASSP2005, pp.485-488, 2005.