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pro vyhledávání: '"Tadashi Emori"'
Autor:
Koichi Shinoda, Takafumi Koshinaka, Takuya Tsutaoka, Tadashi Emori, Yuzo Hamanaka, Sadaoki Furui
Publikováno v:
IEICE Transactions on Information and Systems. :2015-2023
We propose a committee-based method of active learning for large vocabulary continuous speech recognition. Multiple recognizers are trained in this approach, and the recognition results obtained from these are used for selecting utterances. Those utt
Autor:
Koichi Shinoda, Tadashi Emori
Publikováno v:
Systems and Computers in Japan. 33:30-40
Speaker normalization techniques for correcting differences in the vocal tract lengths of different speakers, referred to as vocal tract length normalization, in a large vocabulary voice recognition system using a hidden Markov model (HMM), have been
Publikováno v:
Interspeech 2012.
Publikováno v:
ICASSP
We propose a committee-based active learning method for large vocabulary continuous speech recognition. In this approach, multiple recognizers are prepared beforehand, and the recognition results obtained from them are used for selecting utterances.
Autor:
H. Hattori, Ken-ichi Iso, Akitoshi Okumura, Shinichi Ando, Tadashi Emori, Ryosuke Isotani, Kiyoshi Yamabana, Takao Watanabe, Shinya Ishikawa, Ken Hanazawa
Publikováno v:
ICMI
We present an automatic speech-to-speech translation system for personal digital assistants (PDAs) that helps oral communication between Japanese and English speakers in various situations while traveling. Our original compact large vocabulary contin
Autor:
Tadashi Emori, Koichi Shinoda
Publikováno v:
7th European Conference on Speech Communication and Technology (Eurospeech 2001).
Autor:
Koichi Shinoda, Tadashi Emori
Publikováno v:
The Journal of the Acoustical Society of America. 119:693
A voice recognition system comprises an analyzer for converting an input voice signal to an input pattern including cepstrum, a reference pattern for storing reference patterns, an elongation/contraction estimating unit for outputting an elongation/c
Publikováno v:
Scopus-Elsevier
INTERSPEECH
INTERSPEECH
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be44262d29fee265c716950b62bedb6d
http://www.scopus.com/inward/record.url?eid=2-s2.0-56149125455&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-56149125455&partnerID=MN8TOARS