A fast and reliable fundamental frequency (F0) extraction method is proposed for real-time interactive applications using a singing voice. It is based on period detection of the vocal fold vibration, so it does not require expensive computation such as STFT or autocorrelation. Parallel processing architecture and a new cost function make this simple idea competitive with state of the art F0 estimation methods. A series of tests using publicly accessible F0 reference databases revealed that the proposed method supersedes conventional methods in terms of speed and accuracy. Finally, comparative tests using artificial test signals with fast and deep vibrato were conducted to demonstrate the effectiveness of the proposed method in interactive real-time applications for singing sounds.

Authors: Morise, Masanori; Kawahara, Hideki; Katayose, Haruhiro
Affiliations: Kwansei Gakuin University, Nishinomiya Hyogo, Japan; Wakayama University, Wakayama-City, Japan(See document for exact affiliation information.)
AES Conference: 35th International Conference: Audio for Games (February 2009)
Paper Number: 11
Publication Date: February 1, 2009 Import into BibTeX
Subject: Audio for Games: Speech Processing and Analysis
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=15165

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