Presentation 2010-10-08
Music recommendation system based on chat speech recognition
Hiromasa OHASHI, Norihide KITAOKA, Sunao HARA, Kazuya TAKEDA,
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Abstract(in English) We developed an ambient system that plays a music suitable for the mood of a human-human conversation using words obtained from a continuous speech recognition system. Using the correspondent between a document space based on the texts related to the musics and an acoustic space that express various audio features, the continuous speech recognition results are mapped to an acoustic space. Proper names, which are not coverd by the continuous speech recognizer, are recognized by a wordspotter. In this paper, we show the result of the perfomance evaluation for the system. For read music review texts, the system obtained in MRR of 0.83, which is not bad, with high WER of 70.55%, not low F measure of 31.58. We also show an example result for chat conversations.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Continuous Speech Recognition System / Chat Conversation Recognition / Latent Semantic Analysis
Paper # PRMU2010-99,SP2010-55,WIT2010-43
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Committee WIT
Conference Date 2010/10/1(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Music recommendation system based on chat speech recognition
Sub Title (in English)
Keyword(1) Continuous Speech Recognition System
Keyword(2) Chat Conversation Recognition
Keyword(3) Latent Semantic Analysis
1st Author's Name Hiromasa OHASHI
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Norihide KITAOKA
2nd Author's Affiliation Graduate School of Information Science, Nagoya University
3rd Author's Name Sunao HARA
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
4th Author's Name Kazuya TAKEDA
4th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2010-10-08
Paper # PRMU2010-99,SP2010-55,WIT2010-43
Volume (vol) vol.110
Number (no) 221
Page pp.pp.-
#Pages 6
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