Web-derived pronunciations

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2009, Pages 4289-4292

  Ghoshal, Arnab ^a   Jansche, Martin ^b   Khudanpur, Sanjeev ^a   Riley, Michael ^b   Ulinski, Morgan ^c  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b GOOGLE INC   (United States)

^c Cornell University ^*  (United States)

Author keywords

Speech processing

Indexed keywords

WEB PAGE;

ACOUSTICS; AD HOC NETWORKS; SIGNAL PROCESSING; SPEECH PROCESSING;

TRANSCRIPTION;

EID: 70349227690     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4960577     Document Type: Conference Paper

References (9)

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2. T. G. Dietterich, "Machine learning for sequential data: A review," LNCS, vol. 2396, 2002.
3. A. Black, K. Lenzo, and V. Pagel, "Issues in building general letter to sound rules," in ESCA WSS-3, 1998.
4. Y. Marchand and R. I. Damper, "A multi-strategy approach to improving pronunciation by analogy," Comp. Ling., 2000.
5. P. Taylor, "Hidden Markov models for grapheme to phoneme conversion," in Interspeech, 2005.
6. M. Bisani and H. Ney, "Investigations on joint-multigram models for grapheme-to-phoneme conversion," in ICSLP, 2002.
7. R. Kneser and H. Ney, "Improved backing-off for m-gram language modeling," in ICASSP, 1995.
8. C. Allauzen et al., "OpenFST: A general and efficient weighted finite-state library," in CIAA, 2007.
9. E. Sumita and F. Sugaya, "Word pronunciation disambiguation using the Web," in HLT/NAACL, 2006.