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Volumn , Issue , 2009, Pages 52-57

Investigations on features for log-linear acoustic models in continuous speech recognition

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC MODEL; CONDITIONAL PROBABILITIES; DATA DEPENDENT; DIRECT MODELING; EMISSION PROBABILITIES; GAUSSIAN MIXTURE DISTRIBUTION; GAUSSIAN MIXTURE MODEL; LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION; LOGLINEAR MODEL; NATURAL LANGUAGE PROCESSING; POSTERIOR PROBABILITY; SPEECH RECOGNITION SYSTEMS; SPEECH RECOGNIZER; WALL STREET JOURNAL;

EID: 77949407865     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ASRU.2009.5373362     Document Type: Conference Paper
Times cited : (15)

References (16)
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  • 6
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  • 7
    • 34047246149 scopus 로고    scopus 로고
    • H.-K. J. Kuo and Y. Gao, Maximum entropy direct models for speech recognition, IEEE Transactions on Audio, Speech, and Language Processing, 14, no. 3, pp. 873-881, 2006.
    • H.-K. J. Kuo and Y. Gao, "Maximum entropy direct models for speech recognition," IEEE Transactions on Audio, Speech, and Language Processing, vol. 14, no. 3, pp. 873-881, 2006.
  • 8
    • 70450161334 scopus 로고    scopus 로고
    • Investigations on convex optimization using log-linear HMMs for digit string recognition
    • G. Heigold, D. Rybach, R. Schlüter, and H. Ney, "Investigations on convex optimization using log-linear HMMs for digit string recognition," in Proc. Interspeech, 2009.
    • (2009) Proc. Interspeech
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  • 9
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    • (2000) Proc. of the Seventeenth International Conference on Machine Learning , pp. 591-598
    • McCallum, A.1    Freitag, D.2    Pereira, F.C.N.3
  • 10
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • San Francisco, CA, USA: Morgan Kaufmann Publishers Inc
    • J. D. Lafferty, A. McCallum, and F. C. N. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," in Proc. of the Eighteenth International Conference on Machine Learning, ICML. San Francisco, CA, USA: Morgan Kaufmann Publishers Inc., 2001, pp. 282-289.
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  • 11
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    • Hidden conditional random fields for phone classification
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    • (2005) Proc. Interspeech , pp. 1117-1120
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    • Investigations on error minimizing training criteria for discriminative training in automatic speech recognition
    • Lisbon, Portugal
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.