THE USE OF FINITE-STATE TRANSDUCERS FOR MODELING PHONOLOGICAL AND MORPHOLOGICAL CONSTRAINTS IN AUTOMATIC SPEECH RECOGNITION

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概要

• 論文の詳細を見る
• 2001-10-01

著者

• Furui Sadaoki

  Tokyo Inst. Of Technol. Tokyo Jpn

• Furui S

  Tokyo Institute Of Technology

• SZARVAS Mate

  Tokyo Institute of Technology

関連論文

• Tree-Structured Clustering Methods for Piecewise Linear-Transformation-Based Noise Adaptation(Speech and Hearing)
• Recent Progress in Corpus-Based Spontaneous Speech Recognition(Feature Extraction and Acoustic Medelings, Corpus-Based Speech Technologies)
• THE USE OF FINITE-STATE TRANSDUCERS FOR MODELING PHONOLOGICAL AND MORPHOLOGICAL CONSTRAINTS IN AUTOMATIC SPEECH RECOGNITION
• Adaptation to Pronunciation Variations in Indonesian Spoken Query-Based Information Retrieval
• Committee-Based Active Learning for Speech Recognition
• Robust Gait-Based Person Identification against Walking Speed Variations
• Selected Topics from LVCSR Research for Asian Languages at Tokyo Tech
• Active Learning Using Phone-Error Distribution for Speech Modeling
• Distance-based Factor Graph Linearization and Sampled Max-sum Algorithm for Efficient 3D Potential Decoding of Macromolecules
• Active Learning Using Phone-Error Distribution for Speech Modeling

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