Subword-based approaches for spoken document retrieval

Speech Communication

Volumn 32, Issue 3, 2000, Pages 157-186

  Ng, Kenney ^a   Zue, Victor W ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC INDEXING; COMPUTATIONAL COMPLEXITY; DATA STRUCTURES; ERROR ANALYSIS; INFORMATION RETRIEVAL SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; QUERY LANGUAGES; SENSITIVITY ANALYSIS; SPEECH ANALYSIS;

SPOKEN DOCUMENT RETRIEVALS; SUBWORD-BASED METHODS;

CONTINUOUS SPEECH RECOGNITION;

EID: 0034300710     PISSN: 01676393     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-6393(00)00008-X     Document Type: Article

References (52)

1. Acero, A., Stern, R., 1990. Environmental robustness in automatic speech recognition. In: Proceedings of the ICASSP '90. Albuquerque, NM, pp. 849-852.
2. Buckley, C., 1985. Implementation of the smart information retrieval system. Technical Report 85-686, Computer Science Department, Cornell University, Ithaca, New York.
3. Chang, J.W., Glass, J.R., 1997. Segmentation and modeling in segment-based recognition. In: Proceedings of the Eurospeech '97. Rhodes, Greece, pp. 1199-1202.
4. Chase, L., 1997. Word and acoustic confidence annotation for large vocabulary speech recognition. In: Proceedings of the Eurospeech '97. Rhodes, Greece, pp. 815-818.
5. Chomsky, N., Halle, M., 1968. The Sound Pattern of English. Harper & Row, New York (republished in paperback, MIT Press, Cambridge, MA).
6. Damashek M. Gauging similarity via. n -grams: Language-independent categorization of text Science. 246:1995;843-848.
7. Deligne, S., Bimbot, F., 1995. Language modeling by variable length sequences: Theoretical formulation and evaluation of multigrams. In: Proceedings of the ICASSP '95. Detroit, MI, pp. 169-172.
8. Dempster A.P., Laird N.M., Rubin D.B. Maximum likelihood from incomplete data via the EM algorithm. Journal of Royal Statistical Society. 39(1):1977;1-38.
9. Dharanipragada, S., Franz, M., Roukos, S., 1998. Audio indexing for broadcast news. In: Seventh Text REtrieval Conference (TREC-7). Gaithersburg, MD, USA, NIST-SP 500-242.
10. Duda R.O., Hart P.E. Pattern Classification and Scene Analysis. 1973;Wiley, New York.
11. Fisher, W., 1996. Automatic syllabification program based on algorithm in (Kahn, 1976). Available at ftp://jaguar.ncsl.nist.gov/pub/tsylb2-1.1.tar.Z.
12. Foote, J., Jones, G., Jones, K.S., Young, S., 1995. Talker independent keyword spotting for information retrieval. In: Proceedings of the Eurospeech '95. Madrid, Spain, pp. 2145-2148.
13. Garofolo, J.S., Lamel, L.F., Fisher, W.M., Fiscus, J.G., Pallett, D.S., Dahlgren, N.L., 1993, DARPA TIMIT acoustic-phonetic continuous speech corpus CD-ROM. 1993. National Institute of Standards and Technology, NISTIR 4930.
14. Glass, J.R., Zue, V.W., 1988. Multi-Level Acoustic Segmentation of Continuous Speech. In: Proceedings of the ICASSP '88. New York, pp. 429-432.
15. Glass, J., Chang, J., McCandless, M., 1996. A probabilistic framework for feature-based speech recognition. In: Proceedings of the ICSLP '96, Philadelphia, PA. Vol. 4, pp. 2277-2280.
16. Glavitsch, U., Schauble, P., 1992. A system for retrieving speech documents. In: Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Language Processing. pp. 168-176.
17. Halberstadt, A.K., 1998. Heterogeneous acoustic measurements and multiple classifiers for speech recognition. Ph.D. Thesis, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
18. Harman, D.K. (Ed.), 1997. Sixth Text REtrieval Conference (TREC-6). Gaithersburg, MD, USA. National Institute for Standards and Technology, NIST-SP 500-240.
19. Harman, D.K. (Ed.), 1998. Seventh Text REtrieval Conference (TREC-7). Gaithersburg, MD, USA. National Institute for Standards and Technology, NIST-SP 500-242.
20. Hartigan J. Clustering Algorithms. 1975;Wiley, New York.
21. Hauptmann, A., Wactlar, H., 1997. Indexing and search of multimodal information. In: Proceedings of the ICASSP '97. Munich, Germany, pp. 195-198.
22. Hazen, T., Halberstadt, A., 1998. Using aggregation to improve the performance of mixture gaussian acoustic models. In: Proceedings of the ICASSP '98. Seattle, WA, USA, pp. 653-657.
23. James, D.A., 1995. The application of classical information retrieval techniques to spoken documents. Ph.D. Thesis, University of Cambridge, Cambridge, UK.
24. Johnson, S., Jourlin, P., Moore, G., Jones, K.S., Woodland, P., 1998. Spoken document retrieval for TREC-7 at Cambridge University. In: Seventh Text REtrieval Conference (TREC-7). Gaithersburg, MD, USA, 1998, NIST-SP 500-242.
25. Jones, G., Foote, J., Jones, K.S., Young, S., 1995. Video mail retrieval: The effect of word spotting accuracy on precision. In: Proceedings of the ICASSP '95. Detroit, MI, pp. 309-312.
26. Jones, G.J.F., Foote, J.T., Jones, K.S., Young, S.J., 1996. Retrieving spoken documents by combining multiple index sources. In: Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Zurich, Switzerland, pp. 30-39.
27. Jourlin, P., Johnson, S., Jones, K.S., Woodland, P., 1999. Improving retrieval on imperfect speech transcriptions. In: Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 283-284.
28. Kahn, D., 1976. Syllable-based generalizations in English phonology. Ph.D. Thesis, Department of Linguistics and Philosophy, Massachusetts Institute of Technology, Cambridge, MA.
29. Lee K.-F. Automatic Speech Recognition: The Development of the SPHINX System. 1989;Kluwer Academic Publishers, Boston.
30. Marukawa K., Hu T., Fujisawa H., Shima Y. Document retrieval tolerating character recognition errors - evaluation and application. Pattern Recognition. 30(8):1997;1361-1371.
31. Ng, C., Zobel, J., 1998. Speech retrieval using phonemes with error correction. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 365-366.
32. Ng, K., 1998. Towards robust methods for spoken document retrieval. In: Proceedings of the ICSLP '98, Sydney, Australia.
33. Ng, K., Zue, V., 1997. Subword unit representations for spoken document retrieval. In: Proceedings of the Eurospeech '97. Rhodes, Greece, pp. 1607-1610.
34. Ng, K., Zue, V., 1998. Phonetic recognition for spoken document retrieval. In: Proceedings of the ICASSP '98. Seattle, WA, USA, pp. 325-328.
35. Porter M. An algorithm for suffix stripping. Program. 14(3):1980;130-137.
36. Rabiner, L.R., 1989. A tutorial on hidden Markov models and selected applications in speech recognition. In: Proceedings IEEE 77, 257-286.
37. Rijsbergen C.V. Information Retrieval. 1979;Butterworths, London.
38. Robertson S., Jones K.S. Relevance weighting of search terms. Journal of the American Society of Information Science, May. 1976;129-146.
39. Rose, R.C., Chang, E.I., Lippmann, R.P., 1991. Techniques for information retrieval from voice messages. In: Proceedings of the ICASSP '91. Toronto, Canada, pp. 317-320.
40. Salton G., McGill M.J. Introduction to Modern Information Retrieval. 1983;McGraw-Hill, New York.
41. Schäuble, P., Glavitsch, U., 1994. Assessing the retrieval effectiveness of a speech retrieval system by simulating recognition errors. In: Proceedings of the ARPA Human Language Technology Workshop '94. Princeton, NJ, USA, pp. 370-372.
42. Schmandt C. Voice Communication with Computers (Conversational Systems). 1994;Van Nostrand Reinhold, New York.
43. Singhal, A., Choi, J., Hindle, D., Lewis, D., Pereira, F., 1998. AT&T at TREC-7. In: Seventh Text REtrieval Conference (TREC-7). Gaithersburg, MD, USA, NIST-SP 500-242.
44. Siu, M.-H., Gish, H., Richardson, F., 1997. Improved estimation, evaluation and applications of confidence measures for speech recognition. In: Proceedings of the Eurospeech '97. Rhodes, Greece, pp. 831-834.
45. Spina, M.S., Zue, V., 1996. Automatic transcription of general audio data: Preliminary analyses. In: Proceedings of the ICSLP '96, Philadelphia, PA. Vol. 2, pp. 594-597.
46. Spina, M.S., Zue, V., 1997. Automatic transcription of general audio data: Effect of environment segmentation on phonetic recognition. In: Proceedings of the Eurospeech '97. Rhodes, Greece, pp. 1547-1550.
47. Viterbi, A., 1967. Error bounds for convolutional codes and an asymptotically optimal decoding algorithm. IEEE Transactions on Information Theory IT-13, 260-269.
48. Wechsler, M., Schauble, P., 1995. Indexing methods for a speech retrieval system. In: Proceedings of the MIRO Workshop. Glasgow, Scotland, UK.
49. Wechsler, M., Munteanu, E., Schauble, P., 1998. New techniques for open-vocabulary spoken document retrieval. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 20-27.
50. Winston, P., 1992. Artificial Intelligence, third ed. Addison-Wesley, Reading, MA.
51. Witbrock, M.J., Hauptmann, A.G., 1997. Speech recognition and information retrieval: Experiments in retrieving spoken documents. In: Proceedings of the DARPA Speech Recognition Workshop '97. Chantilly, VA, USA, 1997.
52. Zhai, C., Tong, X., Milic-Frayling, N., Evans, D., 1996. OCR correction and query expansion for retrieval on OCR data - CLARIT TREC-5 confusion track report. In: Proceedings of Fifth Text REtrieval Conference (TREC-5). Gaithersburg, MD, USA. NIST-SP 500-238.