Model complexity optimization for nonnative english speakers

EUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology

Volumn , Issue , 2001, Pages 1461-1464

  He, Xiaodong ^a   Zhao, Yunxin ^a  

^a University of Missouri   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

SPEECH; SPEECH COMMUNICATION;

ACOUSTIC MODEL; BEST MODEL; CONTEXT-DEPENDENT ACOUSTIC MODELING; FOREIGN ACCENTS; HIGHPERFORMANCE; MODEL COMPLEXITY; SPEECH RECOGNITION SYSTEMS; WALL STREET JOURNAL;

SPEECH RECOGNITION;

EID: 85009136681     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

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2. Boulis, C. and Digalakis, V., "Fast Speaker Adaptation of Large Vocabulary Continuous Density HMM Speech Recognizer Using A Basis Transform Approach", ICASSP 00, vol. 2, pp. 989- 992.
3. Ma, B., Huang, T., Xu, B., Zhang, X. and Qu, F., "Context-Dependent Acoustic Models For Chinese Speech Recognition", ICASSP 96, vol. 1, pp. 455- 458.
4. Rissanen, J., "Universal Coding, Information, Prediction, and Estimation", IEEE Trans. IT, vol.30, 1984.
5. Shinoda, K. and Watanabe, T., "Speaker Adaptation With Autonomous Model Complexity Control By MDL Principle", ICASSP 96, vol. 2, pp. 717-720.
6. Wang, S. and Zhao, Y., "Optimal On-line Bayesian Model Selection For Speaker Adaptation", ICSLP 00, vol. 3, pp. 710-713.
7. Kershaw, D. et al, "The HTK book", http://htk.eng.cam.ac.uk/docs/docs.shtml.
8. Papoulis, A., Probability, Random Variables, and Stochastic Processes, McGraw-Hill, Inc., 3rd edition.