Improving the Readability of ASR Results for Lectures Using Multiple Hypotheses and Sentence-Level Knowledge
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概要
- 論文の詳細を見る
- 2012-04-01
著者
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Nakagawa Seiichi
The Department Of Information And Computer Sciences Toyohashi University Of Technology
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FUJII Yasuhisa
the Department of Information and Computer Sciences Toyohashi University of Technology
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YAMAMOTO Kazumasa
the Department of Information and Computer Sciences Toyohashi University of Technology
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NAKAGAWA Seiichi
the Department of Computer Science and Engineering, Toyohashi University of Technology
関連論文
- Text-Independent/Text-Prompted Speaker Recognition by Combining Speaker-Specific GMM with Speaker Adapted Syllable-Based HMM(Speaker Recognition, Statistical Modeling for Speech Processing)
- Improving the Readability of ASR Results for Lectures Using Multiple Hypotheses and Sentence-Level Knowledge
- Hidden Conditional Neural Fields for Continuous Phoneme Speech Recognition
- Class-Based N-Gram Language Model for New Words Using Out-of-Vocabulary to In-Vocabulary Similarity