Lee Akinobu | Department Of Computer Science Nagoya Institute Of Technology

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概要

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著作論文

Improving Rapid Unsupervised Speaker Adaptation Based on HMM-Sufficient Statistics in Noisy Environments Using Multi-Template Models(Speech Recognition, Statistical Modeling for Speech Processing)
A Fully Consistent Hidden Semi-Markov Model-Based Speech Recognition System
Non-Audible Murmur (NAM) Recognition Exploiting Adaptation Techniques
Development, Long-Term Operation and Portability of a Real-Environment Speech-Oriented Guidance System
複数モデルを用いた十分統計量に基く教師なし話者適応における学習話者のクラス化の検討
A Covariance-Typing Technique for HMM-Based Speech Synthesis
Bayesian Context Clustering Using Cross Validation for Speech Recognition

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