Evaluation of a long-contextual-span hidden trajectory model and phonetic recognizer using A* lattice search

9th European Conference on Speech Communication and Technology

Volumn , Issue , 2005, Pages 553-556

  Yu, Dong ^a   Deng, Li ^a   Acero, Alex ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; HEURISTIC METHODS; MATHEMATICAL MODELS; SPEECH ANALYSIS; SPEECH RECOGNITION;

HIDDEN TRAJECTORY MODEL (HTM); LATTICE SEARCH; N-BEST RESCORINGS; TIMIT PHONETIC RECOGNITION;

SPEECH SYNTHESIS;

EID: 33745212472     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (5)

1. L. Deng, D. Yu, A. Acero, "A quantitative model for formant dynamics & contextually assimilated reduction influent speech", Proc. ICSLP, pp 719-722, Jeju, Korea,2004.
2. L. Deng, X. Li, D. Yu, & A. Acero, "A Hidden Trajectory Model with Bi-directional Target-Filtering: Cascaded vs. Integrated Implementation for Phonetic Recognition", Proc. ICASSP, pp 337-340, 2005, Philadelphia, PA, USA.
3. L. Deng, D. Yu, A. Acero, "Learning statistically characterized resonance targets in a hidden trajectory model of speech coarticulation and reduction", submitted to INTERSPEECH, 2005.
4. V. Goel and W. Byrne, "Task dependent loss functions in speech recognition: A-star search over recognition lattices", In Proc. EUROSPEECH 99, 1999.
5. S. Russell, and P. Norvig, "Artificial Intelligence: A Modern Approach", Prentice Hall, Englewood Cliffs, 1995.