Computer Science – Sound
Scientific paper
2007-01-26
Computer Science
Sound
Scientific paper
In this paper, a method of pitch tracking based on variance minimization of locally periodic subsamples of an acoustic signal is presented. Replicates along the length of the periodically sampled data of the signal vector are taken and locally averaged sample variances are minimized to estimate the fundamental frequency. Using this method, pitch tracking of any text independent voiced signal is possible for different speakers.
Chakraborty Roudra
Sengupta Debapriya
Sinha Sagnik
No associations
LandOfFree
Pitch Tracking of Acoustic Signals based on Average Squared Mean Difference Function does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Pitch Tracking of Acoustic Signals based on Average Squared Mean Difference Function, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Pitch Tracking of Acoustic Signals based on Average Squared Mean Difference Function will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-493543