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Cited by 1,920

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

YIN, a fundamental frequency estimator for speech and music

de Cheveigné, Alain, Kawahara, Hideki·2002·The Journal of the Acoustical Society of America
DOI 10.1121/1.1458024
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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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Crossref · 10.1121/1.1458024

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Metadata

Authors
de Cheveigné, A., & Kawahara, H.
Venue
The Journal of the Acoustical Society of America
Publisher
Acoustical Society of America (ASA)
Published
2002-04-01
Volume
111
Issue
4
Pages
1917-1930
ISSN
  • 0001-4966 (ISSN-L)
  • 1520-8524
DOI
10.1121/1.1458024
OpenAlex
W2091425152
Cited by
1,920
References
17
FWCI
40.72
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.