M. G. Brown
K. Spärck Jones
- 1.R. Barber, C. Faloutsos, M. Flickner, J. Hafner, W. Niblack, and D. Petkovic. Efficient and effective querying by image content. J. Intelligent Information Sys., (3):1-31, 1994. Google Scholar
Digital Library
- 2.M. G. Brown, J. T. Foote, G. J. F. Jones, K. Sp'~irck Jones, and S. J. Young. Automatic content-based retrieval of broadcast news. In Proc. ACM Multimedia 95, pages 35-43, San Francisco, November 1995. ACM. Google ScholarDigital Library
- 3.M. G. Brown, J. T. Foote, G. J. F. Jones, K. Sp'~irck Jones, and S. J. Young. Video Mail Retrieval using Voice: An overview of the Cambridge/Olivetti retrieval system. In Proc. A CM Multimedia 9~ Workshop on Multzmedia Database Management Systems, pages 47- 55, San Francisco, CA, October 1994.Google Scholar
- 4.C. Coker, K. Church, and M. Liberman. Morphology and rhyming: two powerful alternatives to Letter-to- Sound rules for speech synthesis. In ESCA Workshop on Speech Synthesis, pages83-86, Autrans, France, Sept 1990. ECSA.Google Scholar
- 5.J. T. Foote, G. J. F. Jones, K. Sp'eirck Jones, and S. J. Young. Talker-independent keyword spotting for information retrieval. In Proc. Eurospeech 95, volume 3, pages 2145-2148, Madrid, 1995. ESCA.Google Scholar
- 6.M. A. Hearst. TileBars: Visualisation of term distribution information in full text information access. In Proceedings of the A CM SIGCHI Conference on Human Factors in Computing Systems (CHI), Denver, CO, May 1995. ACM. Google ScholarDigital Library
- 7.A. Hopper. Digital video on computer workstations. In Proceedings of Eurographics, 1992.Google Scholar
- 8.C. E. Jacobs, A. Finkelstein, and D. H. Salesin. Fast multiresolution image querying. In Proceedings of the SIGGRAPH 95 Conference, pages 277-286, Los Angeles, CA, August 1995. ACM SIGGRAPH. Google ScholarDigital Library
- 9.D. A. James. The Application o} Classical information Retrieval Techniques to Spoken Documents. PhD thesis, Cambridge University, February 1995.Google Scholar
- 10.D. A. James and S. J. Young. A fast lattice-based approach to vocabulary independent wordspotting. In Proc. ICASSP 9d, volume I, pages 377-380, Adelaide, 1994. IEEE.Google ScholarCross Ref
- 11.G. J. F. Jones, J. T. Foote, K. Spiirck Jones, and S. J. Young. VMR report on keyword definition and data collection. Technical Report 335, Cambridge University Computer Laboratory, May 1994.Google Scholar
- 12.G. J. F. Jones, J. T. Foote, K. Sp'~irck Jones, and S. J. Young. Video Mail Retrieval: the effect of word spotting accuracy on precision. In Proc. ICASSP 95, volume I, pages 309-312, Detroit, May 1995. IEEE.Google ScholarCross Ref
- 13.G. J. F. Jones, J. T. Foote, K. Sp'~irck Jones, and S. J. Young. Retrieving spoken documents by combining multiple index sources. In Proc. SIGiR 96, Zfirich, August 1996. ACM. Google ScholarDigital Library
- 14.G. J. F. Jones, J. T. Foote, K. Sp~irck Jones, and S. J. Young. Robust talker-independent audio document retrieval. In Proc. ICASSP 96, volume I, pages 311-314, Atlanta, CA, April 1996. IEEE. Google ScholarDigital Library
- 15.I. Leslie, D. McAuley, and D. Tennenhouse. ATM Everywhere? IEEE Network, March 1993.Google ScholarDigital Library
- 16.J. McDonough, K. Ng, P. Jeanrenaud, H. Gish, and J. R. Rohlicek. Approaches to topic identification on the switchboard corpus. In Proc. ICASSP 94, volume I, pages 385-388, Adelaide, 1994. IEEE.Google ScholarCross Ref
- 17.M. F. Porter. An algorithm for suffix stripping. Program, 14(3):130-137, July 1980.Google Scholar
- 18.L. R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proc. IEEE, 77(2):257-286, February 1989.Google ScholarCross Ref
- 19.T. Robinson, J. Fransen, D. Pye, J. Foote, and S. Renals. WSJCAM0: A British English speech corpus for large vocabulary continuous speech recognition. In Proc. ICASSP 95, pages 81-84, Detroit, May 1995. IEEE.Google Scholar
- 20.T. Robinson, M. Hochberg, and S. Renals. IPA: Improved phone modelling with recurrent neural networks. In Proc. ICASSP 9.4, volume 1, pages 37-40, Adelaide, SA, April 1994.Google ScholarCross Ref
- 21.R. C. Rose. Techniques for information retrieval from speech messages. Lincoln Laboratory Journal, 4(1):45- 60, 1991. Google ScholarDigital Library
- 22.F. Samaria and S. J. Young. A HMM-based architecture for face identification. Image and Vision Computing, 12(8):537-543, October 1994.Google ScholarCross Ref
- 23.M. A. Smith and M. G. Christel. Automating the creation of a digital video library. In Proc. A CM Multimedia 95, pages 357-358, San Francisco, November 1995. ACM. Google ScholarDigital Library
- 24.S. W. Smoliar and H. J. Zhang. Content-based video indexing and retrieval. IEEE Multimedia, 1(2):62-72, Summer 1994. Google ScholarDigital Library
- 25.K. Sp'~ixck Jones, J. T. Foote, G. J. F. Jones, and S. J. Young. Spoken document retrieval -- a multimedia tool. In Fourth Annual Symposium on Document Analysis and information Retrieval, pages 1-11, Las Vegas, April 1995.Google Scholar
- 26.K. Sphrck Jones, G. J. F. Jones, J. T. Foote, and S. J. Young. Experiments in spoken document retrieval, information Processing and Management, 32(4):399-417, 1996. Google ScholarDigital Library
- 27.C. J. van Rijsbergen. Information Retrieval. Butterworths, London, 2nd edition, 1979. Google ScholarDigital Library
- 28.M. Wechsler and P. Schiiuble. Speech retrieval based on automatic indexing. In C. J. van Rijsbergen, editor, Proceedings of the MIRO Workshop, University of Glasgow, September 1995. Google ScholarDigital Library
- 29.L. Wilcox, F. Chen, and V. Balasubramanian. Segmentation of speech using speaker identification. In Proc. ICASSP 9~, volume S1, pages 161-164, Adelaide, SA, April 1994.Google ScholarCross Ref
- 30.L. D. Wilcox and M. A. Bush. Training and search algorithms for an interactive wordspotting system. In Proc. ICASSP 92, volume II, pages 97-100, San Francisco, 1992. IEEE.Google ScholarCross Ref
- 31.J. H. Wright, M. J. Carey, and E. S. Parris. Topic discrimination using higher-order statistical models of spotted keywords. Computer Speech and Language, 9(4):381-405, Oct 1995.Google ScholarCross Ref
- 32.S. J. Young, J. j. Ode}l, and P. C. Woodland. Treebased state tying for high accuracy acoustic modelling. in Proc. A RPA Spoken Language Technology Workshop, Plainsboro, NJ, 1994. Google ScholarDigital Library
- 33.S. J. Young, N. H. Russell, and J. H. S. Thornton. Token passing: a simple conceptual model for connected speech recognition systems. Technical Report CUED/F-INFENG/TR.38, Cambridge University Engineering Department, July 1989. ftp://svrftp.eng.cam.ac.uk/pub/reports/young _tr38.ps.Z.Google Scholar
- 34.S. J. Young, P. C. Woodland, and W. J. Byrne. HTK: Hidden Markov Model Toolkit V1.5. Entropic Research Laboratories, Inc., 600 Pennsylvania Ave. SE, Suite 202, Washington, DC 20003 USA, 1993.Google Scholar
Index Terms
- Open-vocabulary speech indexing for voice and video mail retrieval
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