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| Research article summary (published 30 Mar 2002): |
YIN, a fundamental frequency estimator for speech and music.
Full Abstract
An algorithm is presented for the estimation of the fundamental frequency (F0) of speech or musical sounds. It is based on the well-known autocorrelation method with a number of modifications that combine to prevent errors. The algorithm has several desirable features. Error rates are about three times lower than the best competing methods, as evaluated over a database of speech recorded together with a laryngograph signal. There is no upper limit on the frequency search range, so the algorithm is suited for high-pitched voices and music. The algorithm is relatively simple and may be implemented efficiently and with low latency, and it involves few parameters that must be tuned. It is based on a signal model (periodic signal) that may be extended in several ways to handle various forms of aperiodicity that occur in particular applications. Finally, interesting parallels may be drawn with models of auditory processing.
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Author information
Author/s: de Cheveigné, Alain (A); Kawahara, Hideki (H);
Affiliation: Ircam-CNRS, Paris, France. cheveign@ircam.fr
Journal and publication information
Publication Type: Comparative Study; Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't
Journal: The Journal of the Acoustical Society of America (J Acoust Soc Am), published in United States. (Language: eng)
Reference: 2002-Apr; vol 111 (issue 4) : pp 1917-30
Dates: Created 2002/05/10; Completed 2002/06/19; Revised 2006/12/27;
PMID: 12002874, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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