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2008 Second International Symposium on Universal Communication
A New Method to Reduce the Ambiguity of Japanese Phoneme Candidates Recognized by Recurrent Neural Networks
December 15-December 16
ISBN: 978-0-7695-3433-6
This paper deals with recurrent neural networks which are well-suited for natural language processing of speech
Index Terms:
recurrent neural networks, lattice of phoneme recognition candidates
Citation:
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," isuc, pp.353-357, 2008 Second International Symposium on Universal Communication, 2008
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