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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dc.contributor.author Ghaemmaghami, S
dc.contributor.author Deriche, M
dc.contributor.author Boashash, B
dc.date.accessioned 2012-01-03T07:47:44Z
dc.date.available 2012-01-03T07:47:44Z
dc.date.issued 1997-12
dc.identifier.citation Proceedings of IEEE TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications. Issue Date: 2-4 Dec 1997 On page(s): 743 - 746 vol.2 en_US
dc.identifier.isbn 0-7803-4365-4
dc.identifier.uri http://hdl.handle.net/10576/10773
dc.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). en_US
dc.description.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. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject LPC model en_US
dc.subject auto-thresholding technique en_US
dc.subject flatness measurement en_US
dc.subject frequency domain en_US
dc.subject harmonic structure en_US
dc.subject instantaneous frequency estimation en_US
dc.subject pitch detection en_US
dc.subject pitch harmonics en_US
dc.subject spectrum periodicity measurement en_US
dc.subject speech coding en_US
dc.subject voicing detection en_US
dc.subject Quadratic time-Frequency distributions en_US
dc.subject non-stationary signals en_US
dc.title A new approach to pitch and voicing detection through spectrum periodicity measurement en_US
dc.type Article en_US

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