Takeda Kazuya | Nagoya Univ.

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概要

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著作論文

CENSREC-1-C : An evaluation framework for voice activity detection under noisy environments
Driver Identification Using Driving Behavior Signals(Human-computer Interaction)
AURORA-2J: An Evaluation Framework for Japanese Noisy Speech Recognition(Speech Corpora and Related Topics, Corpus-Based Speech Technologies)
CENSREC-3: An Evaluation Framework for Japanese Speech Recognition in Real Car-Driving Environments(Speech and Hearing)
Evaluation of HRTFs estimated using physical features
Multiple Regression of Log Spectra for In-Car Speech Recognition Using Multiple Distributed Microphones(Feature Extraction and Acoustic Medelings, Corpus-Based Speech Technologies)
Evaluation of Combinational Use of Discriminant Analysis-Based Acoustic Feature Transformation and Discriminative Training
Acoustic Feature Transformation Based on Discriminant Analysis Preserving Local Structure for Speech Recognition
Multichannel Speech Enhancement Based on Generalized Gamma Prior Distribution with Its Online Adaptive Estimation
Acoustic Feature Transformation Combining Average and Maximum Classification Error Minimization Criteria
Driver's irritation detection using speech recognition results (音声・第10回音声言語シンポジウム)
Driver's irritation detection using speech recognition results (音声言語情報処理)
Driver's irritation detection using speech recognition results (言語理解とコミュニケーション・第10回音声言語シンポジウム)
An Acoustically Oriented Vocal-Tract Model
Estimation of speaker and listener positions in a car using binaural signals
Sound localization under conditions of covered ears on the horizontal plane
Single-Channel Multiple Regression for In-Car Speech Enhancement
Adaptive Nonlinear Regression Using Multiple Distributed Microphones for In-Car Speech Recognition(Speech Enhancement, Multi-channel Acoustic Signal Processing)
Speech Recognition Using Finger Tapping Timings(Speech and Hearing)
CIAIR In-Car Speech Corpus : Influence of Driving Status(Corpus-Based Speech Technologies)
Construction and Evaluation of a Large In-Car Speech Corpus(Speech Corpora and Related Topics, Corpus-Based Speech Technologies)
Acoustic Model Training Using Pseudo-Speaker Features Generated by MLLR Transformations for Robust Speaker-Independent Speech Recognition
CENSREC-4: An evaluation framework for distant-talking speech recognition in reverberant environments
A Graph-Based Spoken Dialog Strategy Utilizing Multiple Understanding Hypotheses
Acoustic Model Training Using Pseudo-Speaker Features Generated by MLLR Transformations for Robust Speaker-Independent Speech Recognition

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