YIN, a fundamental frequency estimator for speech and music
Centre National de la Recherche Scientifique · Institut de Recherche et Coordination Acoustique Musique · +1 more institution
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…
Citation impact
- FWCI
- 21.70
- Percentile
- 100%
- References
- 39
Authors
2Topics & keywords
- Computer science
- Autocorrelation
- Estimator
- Speech recognition
- Parallels
- Range (aeronautics)
- Fundamental frequency
- SIGNAL (programming language)