Fast and robust formant detection from LP data

Authors:
Thorsten Smit;Friedrich Türckheim;Robert Mores
Affiliations:
University of Applied Sciences Hamburg, Finkenau 35, 20081 Hamburg, Germany;University of Applied Sciences Hamburg, Finkenau 35, 20081 Hamburg, Germany;University of Applied Sciences Hamburg, Finkenau 35, 20081 Hamburg, Germany
Venue:
Speech Communication
Year:
2012

Citing 3
Cited 0

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Speech Communication - Special issue: voice conversion: state of the art and perspectives
Linear Prediction of Speech

Linear Prediction of Speech
A robust formant extraction algorithm combining spectral peak picking and root polishing

EURASIP Journal on Applied Signal Processing

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Abstract

This paper introduces a method for real-time selective root finding from linear prediction (LP) coefficients using a combination of spectral peak picking and complex contour integration (CI). The proposed method locates roots within predefined areas of the complex z-plane, for instance roots which correspond to formants while other roots are ignored. It includes an approach to limit the search area (SEA) as much as possible. For this purpose, peaks of the group delay function (GDF) serve as pointers. A frequency weighted wGDF will be introduced in which a simple modification enables a parametric emphasis of the GDF spikes to separate merged formants. Thus, a nearly zero defected separation of peaks is possible even when these are very closely spaced. The performance and efficiency of the proposed wGDF-CI method is demonstrated by comparative error-analysis evaluated on a subset of the DARPA TIMIT corpus.