HETEROGENEOUS MEASUREMENTS AND MULTIPLE CLASSIFIERS FOR SPEECH RECOGNITION

5th International Conference on Spoken Language Processing, ICSLP 1998

Volumn , Issue , 1998, Pages

  Halberstadt, Andrew K ^a   Glass, James R ^a  

^a MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC MEASURING INSTRUMENTS; ACOUSTIC MODELING; ACOUSTIC VARIABLES MEASUREMENT; CLASSIFICATION (OF INFORMATION); LINGUISTICS; SPEECH RECOGNITION;

ACOUSTIC MEASUREMENTS; CLASSIFIER SYSTEMS; ERROR RATE; HIGH-DIMENSIONAL; HIGHER-DIMENSIONAL; HYBRID APPROACH; MEASUREMENT SPACES; MULTIPLE-CLASSIFIERS; PHONETIC INFORMATION; SPEECH SIGNALS;

ERRORS;

EID: 85128407852     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (14)

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2. J. Chang, Near-Miss Modeling: A Segment-Based Approach to Speech Recognition. Ph.D. thesis, EECS, MIT, 1998.
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10. S. Lee and J. Glass, “Probabilistic segmentation for segment-based speech recognition,” in Proc. ICSLP, 1998. These Proceedings.
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