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dc.contributor.advisorTobochnik, Jan, 1953-
dc.contributor.advisorErrede, Steven M.
dc.contributor.authorLarson, Eric
dc.description26 leavesen
dc.description.abstractA 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.en
dc.description.sponsorshipUniversity of Illinois at Urbana-Champaign: Physics Department
dc.relation.ispartofKalamazoo College Physics Senior Individualized Projects Collection
dc.relation.ispartofseriesSenior Individualized Projects. Physics.en
dc.rightsU.S. copyright laws protect this material. Commercial use or distribution of this material is not permitted without prior written permission of the copyright holder.
dc.titleReal-Time Domain Pitch Tracking Using Waveletsen

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  • Physics Senior Integrated Projects [335]
    This collection includes Senior Integrated Projects (SIP's) completed in the Physics Department. Abstracts are generally available to the public, but PDF files are available only to current Kalamazoo College students, faculty, and staff.

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