Efficient discriminative training of error corrective models using high-WER competitors

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概要

• 論文の詳細を見る
• 日本音響学会聴覚研究委員会の論文
• 2008-03-20

著者

• Nakamura Atsushi

  Ntt Communication Science Laboratories Ntt Corporation

• Oba Takanobu

  Ntt Communication Science Laboratories Ntt Corporation

• Hori Takaaki

  Ntt Communication Science Laboratories Ntt Corporation

関連論文

• Improved Phoneme-History-Dependent Search Method for Large-Vocabulary Continuous-Speech Recognition
• Improved Sequential Dependency Analysis Integrating Labeling-Based Sentence Boundary Detection
• Efficient discriminative training of error corrective models using high-WER competitors (Speech) -- (国際ワークショップ"Asian workshop on speech science and technology")
• Efficient discriminative training of error corrective models using high-WER competitors
• Speech Recognition Based on Student's t-Distribution Derived from Total Bayesian Framework(Speech Recognition, Statistical Modeling for Speech Processing)
• Selection of Shared-State Hidden Markov Model Structure Using Bayesian Criterion(the 2003 IEICE Excellent Paper Award)
• Efficient Combination of Likelihood Recycling and Batch Calculation for Fast Acoustic Likelihood Calculation
• Production-Oriented Models for Speech Recognition(Speech Recognition, Statistical Modeling for Speech Processing)
• Model Shrinkage for Discriminative Language Models

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