Presentation 2013-01-31
Proposals of a vibrato feature reflecting magnitude of fluctuations of fundamental frequency and power in singing voice and evaluation method of the feature
Chifumi SUZUKI, Hideki BANNO, Kensaku ASAHI, Fumitada ITAKURA, Masanori MORISE,
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Abstract(in English) In this paper, we propose a new vibrato feature in order to measure temporal characteristics of vibrato in singing voice. The data used in the evaluation includes non-imitative singing voice and imitative singing voice of target singer, whose voice and singing style have strong individuality. The data also includes the target singer's voice extracted from CD. The proposed vibrato feature has an advantage that the feature properly reflects the magnitude of fluctuations of F0 and power. The experimental results indicated that fluctuations of F0 and power of the imitative singing are larger than those of the non-imitative singing, and the magnitude of the proposed vibrato feature of the imitative singing is close to that of CD. We also performed objective evaluation by using the database that measures a distance between features calculated from imitative or non-imitative and CD's singing voices. The evaluation showed that the proposed vibrato feature of F0 correctly indicates smaller distance between the imitative and the CD's singing voices.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Singing voice / Vibrato / Fundamental frequency / Power
Paper # SP2012-108
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Committee SP
Conference Date 2013/1/23(1days)
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Registration To Speech (SP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Proposals of a vibrato feature reflecting magnitude of fluctuations of fundamental frequency and power in singing voice and evaluation method of the feature
Sub Title (in English)
Keyword(1) Singing voice
Keyword(2) Vibrato
Keyword(3) Fundamental frequency
Keyword(4) Power
1st Author's Name Chifumi SUZUKI
1st Author's Affiliation Graduate School of Meijo University()
2nd Author's Name Hideki BANNO
2nd Author's Affiliation Graduate School of Meijo University
3rd Author's Name Kensaku ASAHI
3rd Author's Affiliation Graduate School of Meijo University
4th Author's Name Fumitada ITAKURA
4th Author's Affiliation Graduate School of Meijo University
5th Author's Name Masanori MORISE
5th Author's Affiliation College of Information Science and Engineering Ritsumeikan University
Date 2013-01-31
Paper # SP2012-108
Volume (vol) vol.112
Number (no) 422
Page pp.pp.-
#Pages 6
Date of Issue