A simple but efficient voice activity detection algorithm through Hilbert transform and dynamic threshold for speech pathologies

A simple but efficient voice activity detector based on the Hilbert transform and a dynamic threshold is presented to be used on the pre-processing of audio signals -- The algorithm to define the dynamic threshold is a modification of a convex combination found in literature -- This scheme allows th...

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Autores:: Ortiz P., D.
Villa, Luisa F.
Salazar, Carlos
Quintero, O.L.
Ortiz P., D.
Villa, Luisa F.
Salazar, Carlos
Quintero, O.L.

Tipo de recurso:

Fecha de publicación:: 2016

Institución:: Universidad EAFIT

Repositorio:: Repositorio EAFIT

Idioma:: eng

Description
Summary:	A simple but efficient voice activity detector based on the Hilbert transform and a dynamic threshold is presented to be used on the pre-processing of audio signals -- The algorithm to define the dynamic threshold is a modification of a convex combination found in literature -- This scheme allows the detection of prosodic and silence segments on a speech in presence of non-ideal conditions like a spectral overlapped noise -- The present work shows preliminary results over a database built with some political speech -- The tests were performed adding artificial noise to natural noises over the audio signals, and some algorithms are compared -- Results will be extrapolated to the field of adaptive filtering on monophonic signals and the analysis of speech pathologies on futures works

A simple but efficient voice activity detection algorithm through Hilbert transform and dynamic threshold for speech pathologies

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