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Vocality-Sensitive Melody Extraction from Popular Songs
Title: | Vocality-Sensitive Melody Extraction from Popular Songs |
Authors: | Chien, Yu-Ren Browse this author | Wang, Hsin-Min Browse this author |
Issue Date: | 4-Oct-2009 |
Publisher: | Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, International Organizing Committee |
Journal Title: | Proceedings : APSIPA ASC 2009 : Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference |
Start Page: | 31 |
End Page: | 39 |
Abstract: | This paper presents a method for extracting vocal melodies from popular songs. Underlying the extraction procedure is a sinusoidal representation applied to the input song signal. The desired vocal melody is isolated by focusing on specific (amplitude- and frequency-modulated) sinusoids that are identified as vocal, with the identification based on minimum mean square error (MMSE) estimation of the singing voice. The experiment results show that sensitivity to vocality brings a 15% absolute gain in vocal pitch recall, and that the proposed system is effective in indexing a 95-song database in a query-by-singing application. |
Description: | APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference. 4-7 October 2009. Sapporo, Japan. Oral session: Speech and Music Processing (5 October 2009). |
Conference Name: | APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference | 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 |
Conference Place: | Sapporo |
Type: | proceedings |
URI: | http://hdl.handle.net/2115/39639 |
Appears in Collections: | 北海道大学サステナビリティ・ウィーク2009 (Sustainability Weeks 2009) > 2009年アジア太平洋信号情報処理連合学会アニュアルサミット・国際会議 (2009 APSIPA Annual Summit and Conference)
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