LVCSR based on context-dependent syllable acoustic models
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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
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Nakagawa Seiichi
Toyohashi Univ. Technol. Toyohashi‐shi Jpn
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Zhang Jian
Department Of Information And Computer Sciences Toyohashi University Of Technology
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Wang Longbiao
Department Of Information And Computer Sciences Toyohashi University Of Technology
関連論文
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- Topic dependent language model based on clustering of noun word history
- Word and class dependency of N-gram language model (音声言語情報処理)
- Word and class dependency of N-gram language model (言語理解とコミュニケーション・第9回音声言語シンポジウム)
- Word and class dependency of N-gram language model (音声・第9回音声言語シンポジウム)
- TEXT-INDEPENDENT SPEAKER IDENTIFICATION ON TIMIT DATABASE
- Text-Independent/Text-Prompted Speaker Recognition by Combining Speaker-Specific GMM with Speaker Adapted Syllable-Based HMM(Speaker Recognition, Statistical Modeling for Speech Processing)
- Evaluation of Combinational Use of Discriminant Analysis-Based Acoustic Feature Transformation and Discriminative Training
- LVCSR based on context-dependent syllable acoustic models (Speech) -- (国際ワークショップ"Asian workshop on speech science and technology")
- Robust distant speech recognition by combining variable-term spectrum based position-dependent CMN with conventional CMN (Speech) -- (国際ワークショップ"Asian workshop on speech science and technology")
- Linear Discriminant Analysis Using a Generalized Mean of Class Covariances and Its Application to Speech Recognition
- Robust Speech Recognition by Combining Short-Term and Long-Term Spectrum Based Position-Dependent CMN with Conventional CMN
- LVCSR based on context-dependent syllable acoustic models
- Robust distant speech recognition by combining variable-term spectrum based position-dependent CMN with conventional CMN
- Noisy Speech Recognition Based on Integration/Selection of Multiple Noise Suppression Methods Using Noise GMMs
- A Survey on Automatic Speech Recognition(Special Issue on the 2000 IEICE Excellent Paper Award)
- Speaker Recognition by Combining MFCC and Phase Information in Noisy Conditions
- Distant Speech Recognition Using a Microphone Array Network
- Auditory perception versus automatic estimation of location and orientation of an acoustic source in a real environment
- Distant-Talking Speech Recognition Based on Spectral Subtraction by Multi-Channel LMS Algorithm