Modeling polyphone context with weighted finite-state transducers

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

Volumn 1, Issue , 2006, Pages

  Stoimenov, Emilian ^a   McDonough, John ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; ERROR CORRECTION; MATHEMATICAL MODELS; SPEECH RECOGNITION; TRANSDUCERS;

FINITE-STATE TRANSDUCERS; GAUSSIAN MIXTURE MODELS;

SPEECH ANALYSIS;

EID: 33947638544     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. S. F. Chen. Compiling large-context phonetic decision trees into finite-state transducers. In Proc. Eurospeech, pages 1169-1172, 2003.
2. C. J. Leggetter and P. C. Woodland. Maximum likelihood linear regression for speaker adaptation of continuous density hidden markov models. Computer Speech and Language, pages 171-185, 1995.
3. M. Mohri. Finite-state transducers in language and speech processing. Computational Linguistics, 23(2), 1997.
4. M. Mohri, F. Pereira, and M. Riley. Weighted finite-state transducers in speech recognition. Computer Speech and Language, 16:69-88, 2002.
5. M. Mohri and M. Riley. Network optimizations for large vocabulary speech recognition. Speech Communication, 25(3), 1998.
6. M. Mohri, M. Riley, D. Hindle, A. Ljolje, and F. Periera. Full expansion of context-dependent networks in large vocabulary speech recognition. In Proc. ICASSP, volume II, pages 665-668, Seattle, 1998.
7. M. Schuster and T. Hori. Efficient generation of high-order weighted finite state transducers for speech recognition. In Proc. ICASSP, pages 201-204, 2005.
8. R. Sproat and M. Riley. Compilation of weighted finite-state transducers from decision trees. In Proc. ACL, Santa Cruz, California, June 1996.