Presentation 2014-12-13
Fundamental Study for Absolute Pitch Model by Using Neural Network
Takeshi SHONO, Takahiro EMOTO, Masatake AKUTAGAWA, Shinsuke KONAKA, Yosuke KINOUCHI, Udantha R. ABEYRATNE,
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Abstract(in English) It is well known that obstructive sleep apnea syndrome (OSAS) cause a drowsy driving accident. Recently, snore based analysis has been performed for its application in clinical evaluation of OSAS. However, snore has been considered to consist of voiced and unvoiced segment. Absolute pitch is the ability to identify or produce a pitch of a sound without hearing a reference sound. Toward a tool to characterize OSAS, we here propose absolute pitch model based on neural network, which reflects pitch perception property of a person with absolute pitch. The performance of proposed model is investigated and evaluated via simulation experiment using music instrument sound database.
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Keyword(in English) Absolute Pitch / Neural Network
Paper # MBE2014-87
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Committee MBE
Conference Date 2014/12/6(1days)
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Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fundamental Study for Absolute Pitch Model by Using Neural Network
Sub Title (in English)
Keyword(1) Absolute Pitch
Keyword(2) Neural Network
1st Author's Name Takeshi SHONO
1st Author's Affiliation Graduate School of Advanced Technology and Science, Tokushima University()
2nd Author's Name Takahiro EMOTO
2nd Author's Affiliation Technology and Electrical Engineering, The University of Queensland
3rd Author's Name Masatake AKUTAGAWA
3rd Author's Affiliation / Technology and Electrical Engineering, The University of Queensland
4th Author's Name Shinsuke KONAKA
4th Author's Affiliation /
5th Author's Name Yosuke KINOUCHI
5th Author's Affiliation
6th Author's Name Udantha R. ABEYRATNE
6th Author's Affiliation
Date 2014-12-13
Paper # MBE2014-87
Volume (vol) vol.114
Number (no) 361
Page pp.pp.-
#Pages 2
Date of Issue