2017 - IEEE Fellow For contributions to speech recognition and understanding
His primary areas of investigation include Artificial intelligence, Speech recognition, Natural language processing, Pattern recognition and Language model. Tatsuya Kawahara combines subjects such as Decoding methods and Language acquisition with his study of Artificial intelligence. His studies deal with areas such as Sentence and Vocabulary as well as Speech recognition.
The Phrase, Machine translation, Parsing and Rule-based machine translation research Tatsuya Kawahara does as part of his general Natural language processing study is frequently linked to other disciplines of science, such as Search terms, therefore creating a link between diverse domains of science. His study in the fields of Mixture model under the domain of Pattern recognition overlaps with other disciplines such as Non-negative matrix factorization. Tatsuya Kawahara has researched Language model in several fields, including Transcription, Pronunciation and Natural language.
His primary scientific interests are in Speech recognition, Artificial intelligence, Natural language processing, Language model and Pattern recognition. His Speech recognition study combines topics from a wide range of disciplines, such as Sentence and Word. Artificial intelligence is closely attributed to Vocabulary in his research.
His study looks at the relationship between Natural language processing and fields such as Search engine indexing, as well as how they intersect with chemical problems. The concepts of his Language model study are interwoven with issues in Cache language model, Adaptation and Lexicon. His Acoustic model study frequently draws connections between adjacent fields such as Speech corpus.
His scientific interests lie mostly in Speech recognition, Artificial intelligence, End-to-end principle, Language model and Human–computer interaction. His Speech recognition research includes themes of Encoder, Word, Inference, Decoding methods and Speech enhancement. The Artificial intelligence study combines topics in areas such as Machine learning and Natural language processing.
His Natural language processing research is multidisciplinary, incorporating elements of Transfer of learning and Relevance. His Language model study combines topics in areas such as Vocabulary, Leverage, Hybrid system and Hidden Markov model. His Human–computer interaction research also works with subjects such as
His main research concerns Speech recognition, Artificial intelligence, Non-negative matrix factorization, Speech enhancement and Natural language processing. His Speech recognition study incorporates themes from Decoding methods, Word and Transformer. His works in Deep learning and Bayesian inference are all subjects of inquiry into Artificial intelligence.
His Speech enhancement research focuses on subjects like Noise measurement, which are linked to Probabilistic logic and Generative model. His Natural language processing research includes elements of Transfer of learning and End-to-end principle. His research integrates issues of Training set, Hybrid system and Speech synthesis in his study of Language model.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Julius --- An Open Source Real-Time Large Vocabulary Recognition Engine
Akinobu Lee;Tatsuya Kawahara;Kiyohiro Shikano.
conference of the international speech communication association (2001)
Recent Development of Open-Source Speech Recognition Engine Julius
Akinobu Lee;Tatsuya Kawahara.
asia pacific signal and information processing association annual summit and conference (2009)
Free software toolkit for Japanese large vocabulary continuous speech recognition
Tatsuya Kawahara;Akinobu Lee;Tetsunori Kobayashi;Kazuya Takeda.
international conference on spoken language processing (2000)
A new phonetic tied-mixture model for efficient decoding
A. Lee;T. Kawahara;K. Takeda;K. Shikano.
international conference on acoustics, speech, and signal processing (2000)
Benchmark test for speech recognition using the Corpus of Spontaneous Japanese
Proceedings of the Spontaneous Speech Processing & Recognition Workshop, Tokyo, Japan, 2003 (2003)
Overview of the IR for Spoken Documents Task in NTCIR-9 Workshop
Tomoyosi Akiba;Hiromitsu Nishizaki;Kiyoaki Aikawa;Tatsuya Kawahara.
An Unsupervised Model for Joint Phrase Alignment and Extraction
Graham Neubig;Taro Watanabe;Eiichiro Sumita;Shinsuke Mori.
meeting of the association for computational linguistics (2011)
Flexible speech understanding based on combined key-phrase detection and verification
T. Kawahara;Chin-Hui Lee;Biing-Hwang Juang.
IEEE Transactions on Speech and Audio Processing (1998)
Recent Progress of Open-Source LVCSR Engine Julius and Japanese Model Repository
Tatsuya Kawahara;Akinobu Lee;Kazuya Takeda;Katsunobu Itou.
conference of the international speech communication association (2004)
ERICA: The ERATO Intelligent Conversational Android
Dylan F. Glas;Takashi Minato;Carlos T. Ishi;Tatsuya Kawahara.
robot and human interactive communication (2016)
Profile was last updated on December 6th, 2021.
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