Yan Yonghong | Thinkit Speech Lab.

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概要

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著作論文

Effects of single-channel speech enhancement algorithms on Mandarin speech intelligibility (応用音響)
Approximate Decision Function and Optimization for GMM-UBM Based Speaker Verification
Using a Kind of Novel Phonotactic Information for SVM Based Speaker Recognition
Robust Speaker Clustering Using Affinity Propagation
An LVCSR Based Reading Miscue Detection System Using Knowledge of Reference and Error Patterns
Effective Acoustic Modeling for Pronunciation Quality Scoring of Strongly Accented Mandarin Speech
A One-Pass Real-Time Decoder Using Memory-Efficient State Network
Development of a Mandarin-English Bilingual Speech Recognition System for Real World Music Retrieval
Automatic Singing Performance Evaluation for Untrained Singers
Melody Track Selection Using Discriminative Language Model
Automatic Language Identification with Discriminative Language Characterization Based on SVM
Effects of the Temporal Fine Structure in Different Frequency Bands on Mandarin Tone Perception
Acoustic Feature Optimization Based on F-Ratio for Robust Speech Recognition
A Hybrid Speech Emotion Recognition System Based on Spectral and Prosodic Features
Enhancing the Robustness of the Posterior-Based Confidence Measures Using Entropy Information for Speech Recognition
Two-Microphone Noise Reduction Using Spatial Information-Based Spectral Amplitude Estimation

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