Real-Time Domain Pitch Tracking Using Wavelets
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Authors
Larson, Eric
Issue Date
2005
Type
Thesis
Language
en_US
Keywords
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Abstract
A pitch tracker based on the fast lifting wavelet transform (FLWT) is developed in Matlab
and C++. The algorithm is designed to function on vocal samples with a range of
90–1500 Hz. With under 25 ms latency, RMS error of under 2 cents (i.e. 1/50 of a semitone)
on sinusoidal signals through four octaves is achieved. The algorithm is shown to be robust
to noise (up to a SNR of 20–25 dB) and missing/weak fundamentals. Analysis is performed in the time domain using the FLWT. The Haar wavelet is used as the basis for the FLWT, which is shown to be mathematically equivalent to splitting a signal into low-pass and highpass components and down-sampling (generating approximations and details, respectively). Peak detection on successive wavelet approximations is used determine the pitch of vocals.
Description
26 leaves
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License
U.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written permission of the copyright holder.