Tokuda K | Department Of Computer Science And Engineering Nagoya Institute Of Technology

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概要

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著作論文

A Training Method of Average Voice Model for HMM-Based Speech Synthesis(Digital Signal Processing)
A Context Clustering Technique for Average Voice Models (Special Issue on Speech Information Processing)
Speaker Adaptation of Pitch and Spectrum for HMM-Based Speech Synthesis
Multi-Space Probability Distribution HMM(Special Issue on the 2000 IEICE Excellent Paper Award)
Vector Quantization of Speech Spectral Parameters Using Statistics of Static and Dynamic Features
Text-Independent Speaker Identification Using Gaussian Mixture Models Based on Multi-Space Probability Distribution (Special Issue on Biometric Person Authentication)
A Fully Consistent Hidden Semi-Markov Model-Based Speech Recognition System
Mixture Density Models Based on Mel-Cepstral Representation of Gaussian Process(Digital Signal Processing)
A 16kb/s Wideband CELP-Based Speech Coder Using Mel-Generalized Cepstral Analysis
LMS-Based Algorithms with Multi-Band Decomposition of the Estimation Error Applied to System Identification (Special Section on Digital Signal Processing)
Multi-Band Decomposition of the Linear Prediction Error Applied to Adaptive AR Spectral Estimation
Adaptive AR Spectral Estimation Based on Wavelet Decomposition of the Linear Prediction Error
A Covariance-Typing Technique for HMM-Based Speech Synthesis
Parameter Sharing in Mixture of Factor Analyzers for Speaker Identification(Feature Extraction and Acoustic Medelings, Corpus-Based Speech Technologies)
Bayesian Context Clustering Using Cross Validation for Speech Recognition

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