In this paper, a new method for pitch tracking is presented. The method is comprised of two steps. In the first step, accurate pitch estimates are obtained on a sample-by-sample basis by updates of the signal statistics with an exponential forgetting factor and subse- quent numerical optimization. In the second step, a Kalman filter is used to smooth the estimates and separate the pitch into a slowly varying component and a rapidly varying component. The former represents the mean pitch while the latter represents vibrato, slides and other fast changes. The method is intended for use in applica- tions that require fast and sample-by-sample estimates, like tuners for musical instruments, transcription tasks requiring details like vi- brato, and real-time tracking of voiced speech.
|Tidsskrift||I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings|
|Status||Udgivet - 2012|
|Begivenhed||IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP - Kyoto, Japan|
Varighed: 25 mar. 2012 → 30 mar. 2012
|Konference||IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP|
|Periode||25/03/2012 → 30/03/2012|