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ATR Spoken Language Communication Research Laboratories | 論文
- Robust voice activity detection based on noise eigenspace
- CENSREC-1-C : An evaluation framework for voice activity detection under noisy environments
- A model-based investigation of activations of the tongue muscles in vowel production
- Noise and Channel Distortion Robust ASR System for DARPA SPINE2 Task (Special Issue on Speech Information Processing)
- A Study on Acoustic Modeling of Pauses for Recognizing Noisy Conversational Speech (Special Issue on Speech Information Processing)
- Speech Enhancement based on Noise Eigenspace Projection
- Splitting Input for Machine Translation Using N-gram Language Model Together with Utterance Similarity(Natural Language Processing)
- ATR Parallel Decoding Based Speech Recognition System Robust to Noise and Speaking Styles(Speech Recognition, Statistical Modeling for Speech Processing)
- Introducing a Translation Dictionary into Phrase-Based SMT
- Construction of Audio-Visual Speech Corpus Using Motion-Capture System and Corpus Based Facial Animation(Life-like Agent and its Communication)
- A Model-Based Learning Process for Modeling Coarticulation of Human Speech(Knowledge, Information and Creativity Support System)
- Normalization of vocal tract shape using radial basis function (音声)
- Normalization of vocal tract shape using radial basis function
- Optimization and Evaluation of a Coarticulation Model based on Observation and Simulation
- Parameter Optimization for a Coarticulation Model Based on Observation and Simulation (国際ワークショップ Frontiers in Speech and Hearing Research)
- Extraction of Low Dimensional Representation of Vowels in Articulatory Space (国際ワークショップ Frontiers in Speech and Hearing Research)
- Training Set Selection for Building Compact and Efficient Language Models
- A Hybrid HMM/BN Acoustic Model Utilizing Pentaphone-Context Dependency(Speech Recognition, Statistical Modeling for Speech Processing)
- Improving Acoustic Model Precision by Incorporating a Wide Phonetic Context Based on a Bayesian Framework(Speech Recognition, Statistical Modeling for Speech Processing)
- A Hybrid HMM/BN Acoustic Model for Automatic Speech Recognition (Special Issue on Speech Information Processing)