Mandarin spoken document retrieval based on syllable lattice matching

Pattern Recognition Letters

Volumn 21, Issue 6-7, 2000, Pages 615-624

  Wang, Hsin Min ^a  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

Author keywords

HMM; SDR; Speech recognition; Spoken document retrieval; Syllable lattice

Indexed keywords

INFORMATION RETRIEVAL; MARKOV PROCESSES; MATHEMATICAL MODELS;

HIDDEN MARKOV MODEL (HMM); SPOKEN DOCUMENT RETRIEVAL (SDR); SYLLABLE LATTICE MATCHING;

SPEECH RECOGNITION;

EID: 0039174218     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(00)00026-X     Document Type: Article

References (15)

1. Bai, B.R., Chien, L.F., Lee, L.S., 1996. Very-large-vocabulary Mandarin voice message file retrieval using speech queries. In: International Conference on Spoken Language Processing, pp. 1950-1953.
2. Bai, B.R., Chen, B., Wang, H.M., 1999. Syllable-based Chinese text/spoken document retrieval using text/speech queries. In: International Conference on Multimodal Interface, pp. II46-II51.
3. CMU Informedia Digital Video Library project, http://informedia.cs.cmu.edu/html/main.html.
4. Furui S. Cepstral analysis technique for automatic speaker verification. IEEE Trans. Acoust. Speech Signal Process. 29:1981;254-272.
5. Furui S. Speaker-independent isolated word recognition using dynamic features of speech spectrum. IEEE Trans. Acoust. Speech Signal Process. 34:1986;52-59.
6. Glavitsch, U., Schäuble, P., 1992. A system for retrieving speech documents. In: ACM SIGIR Conference on R&D in Information Retrieval, pp. 168-176.
7. Harman, D., 1995. Overview of the Fourth Text Retrieval Conference, TREC-4 (http://trec.nist.gov/pubs/trec4/overview.ps).
8. James, D.A., 1995. The application of classical information retrieval techniques to spoken documents. Ph.D. thesis, University of Cambridge, UK.
9. Jones K.S., Jones G.J.F., Foote J.T., Young S.J. Experiments on spoken document retrieval. Inform. Process. & Management. 32(4):1996;399-417.
10. Junqua J.C., Wakita H., Hermansky H. Evaluation and optimization of perceptually-based ASR front-end. IEEE Trans. Speech Audio Process. 1:1993;39-48.
11. Ng, K., Zue, V., 1997. Subword unit representations for spoken document retrieval. In: European Conference on Speech Communication and Technology, pp. 1607-1610.
12. Rabiner L., Juang B.H. Fundamentals of Speech Recognition. 1993;Prentice-Hall, Englewood Cliffs, NJ.
13. Salton G., McGill M. Introduction to Modern Information Retrieval. 1983;McGraw-Hill, New York.
14. Wang H.M.et al. Complete recognition of continuous Mandarin speech for Chinese language with very large vocabulary using limited training data. IEEE Trans. Speech Audio Process. 5(2):1997;195-200.
15. Wechsler, M., 1998. Spoken document retrieval based on phoneme recognition. Ph.D. thesis, Swiss Federal Institute of Technology (ETH), Zurich.