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A finite-rate-of-innovation signal sampling perspective of the source-filter model of speech production

Seelamantula, Chandra Sekhar (2011) A finite-rate-of-innovation signal sampling perspective of the source-filter model of speech production. In: 9th International Conference on Sampling Theory and Applications (SampTA 2011), May 2 - 6, 2011, Singapore. (In Press)

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We consider the speech production mechanism and the asso- ciated linear source-filter model. For voiced speech sounds in particular, the source/glottal excitation is modeled as a stream of impulses and the filter as a cascade of second-order resonators. We show that the process of sampling speech signals can be modeled as filtering a stream of Dirac impulses (a model for the excitation) with a kernel function (the vocal tract response),and then sampling uniformly. We show that the problem of esti- mating the excitation is equivalent to the problem of recovering a stream of Dirac impulses from samples of a filtered version. We present associated algorithms based on the annihilating filter and also make a comparison with the classical linear prediction technique, which is well known in speech analysis. Results on synthesized as well as natural speech data are presented.

Item Type: Conference Paper
Publisher: SampTA
Additional Information: Copyright of this article belongs to SampTA.
Keywords: Speech Production; Source-Filter Model; Finite-Rate-of-Innovation Sampling; Annihilating Filter; Linear Prediction.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 19 Apr 2013 09:05
Last Modified: 19 Apr 2013 09:05
URI: http://eprints.iisc.ac.in/id/eprint/46226

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