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ICASSP 05

ICASSP 05

ICASSP 05. Reference. Rapid Language Model Development Using External Resources for New Spoken Dialog Domains Ruhi Sarikaya 1 , Agustin Gravano 2 , Yuqing Gao 1 1 IBM, 2 Columbia University Maximum Entropy Based Generic Filter for Language Model Adaptation

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527 views • 35 slides
An Empirical Study on Language Model Adaptation

An Empirical Study on Language Model Adaptation

An Empirical Study on Language Model Adaptation. Jianfeng Gao , Hisami Suzuki, Microsoft Research Wei Yuan Shanghai Jiao Tong University. Presented by Patty Liu. Outline. Introduction The Language Model and the Task of IME Related Work LM Adaptation Methods Experimental Results

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538 views • 32 slides
Language Model Adaptation in Machine Translation from Speech

Language Model Adaptation in Machine Translation from Speech

Language Model Adaptation in Machine Translation from Speech. Ivan Bulyko, Spyros Matsoukas, Richard Schwartz, Long Nguyen, and John Makhoul. Why need LM adaptation in MT?. Model genre/style variations LM training data sources are not homogeneous

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289 views • 13 slides
Language Model Adaptation in Machine Translation from Speech

Language Model Adaptation in Machine Translation from Speech

Language Model Adaptation in Machine Translation from Speech. Ivan Bulyko, Spyros Matsoukas, Richard Schwartz, Long Nguyen, and John Makhoul. Why need LM adaptation in MT?. Model genre/style variations LM training data sources are not homogeneous

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329 views • 13 slides
BUILDING A HIGHLY ACCURATE MANDARIN SPEECH RECOGNIZER

BUILDING A HIGHLY ACCURATE MANDARIN SPEECH RECOGNIZER

Acoustic segmentation. VTLN/CMN/CVN. Speaker clustering. CW MLP SAT,MLLR, LM 3. nonCW MLP SI, qLM 3. CW PLP SAT, fMPE, MLLR, LM 3. h. N-best. qLM 4 Adaptation. qLM 4 Adaptation. Char-level Confusion Network Combination. Final Char Sequence.

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91 views • 1 slides

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