A new approach to pitch and voicing detection through spectrum periodicity measurement

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A new approach to pitch and voicing detection through spectrum periodicity measurement

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Title: A new approach to pitch and voicing detection through spectrum periodicity measurement
Author: Ghaemmaghami, S; Deriche, M; Boashash, B
Abstract: A new method for detecting pitch and voicing information of speech with a high accuracy is addressed. The method is based on a novel approach to using the concept of instantaneous frequency (IF). In this method an IF estimation technique in the frequency domain is employed to expose the harmonic structure of the signal using a periodicity measure. This measure is based on the flatness of the IF, which describes the spectrum periodicity within a certain frequency band where the pitch harmonics are most likely found. The flatness measurement also yields voicing information extracted using an auto-thresholding technique. The proposed method was evaluated through comparison with cepstral pitch and voicing detection considering accuracy and reconstructed speech quality.
Description: This paper presents a method for pitch and voicing detection realizing pitch harmonics with a high accuracy (about 95%), by using a periodicity measure based on the concept of IF estimation, allowing to measure the degree of voicing as a potential for improving naturalness of synthetic speech in very low rate coding. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354). In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated).
URI: http://hdl.handle.net/10576/10773
Date: 1997-12

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