Real-time pitch tracking using the eCATE algorithm

Bahja, Fadoua; Martino, Joseph Di; Elhaj, El Hassane Ibn

doi:10.1109/isvc.2010.5656254

Cited by 4 publications

(1 citation statement)

References 10 publications

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“… Cepstrum pitch determination (CPD) [9]  Feature-based pitch tracking (FBPT) [10]  Harmonic product spectrum (HPS) pitch determination [9,10]  Super resolution pitch determination(SRPD) [13]  Enhanced SRPD (eSRPD) [5]  Circular autocorrelation of the temporal excitation (CATE) [14]  Adaptative least squares (ALS) estimation [15]  Enhanced CATE (eCATE) [7],  Modified eCATE (Ecate+) [8].…”

Section: Resultsmentioning

confidence: 99%

On the use of wavelets and cepstrum excitation for Pitch Determination in real-time

Bahja

Elhaj

Martino

2012

2012 International Conference on Multimedia Computing and Systems

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In the current paper, we propose a new pitch tracking technique based on a wavelet transform in the temporal domain. Our algorithm is designed to determine the pitch frequency of the speech signal using a simple voicing decision algorithm. The pitch period is extracted from the cepstrum excitation signal processed by a wavelet transform; then the pitch contour is refined by thresholding and correction algorithms without any postprocessing. The results obtained show that the proposed algorithm provides very good pitch contours compared to those furnished by the Bagshaw database.

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