A New Method to Reduce the Ambiguity of Japanese Phoneme Candidates Recognized by Recurrent Neural Networks - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Shin-ichiro Hashimukai, Chikahiro Araki, Mikio Mori, Shuji Taniguchi, Shozo Kato, Yasuhiro Ogoshi. A New Method to Reduce the Ambiguity of Japanese Phoneme Candidates Recognized by Recurrent Neural Networks. In ISUC 2008, Second International Symposium on Universal Communication, Osaka, Japan, 15-16 December 2008. pages 353-357, IEEE Computer Society, 2008. [doi]

This author has not been identified. Look up 'Shin-ichiro Hashimukai' in GoogleThis author has not been identified. Look up 'Chikahiro Araki' in GoogleThis author has not been identified. Look up 'Mikio Mori' in GoogleThis author has not been identified. Look up 'Shuji Taniguchi' in GoogleThis author has not been identified. Look up 'Shozo Kato' in GoogleThis author has not been identified. Look up 'Yasuhiro Ogoshi' in Google

runs on WebDSL