Robust Voice Activity Detection Algorithm for Noisy Speech

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00158161" target="_blank" >RIV/68407700:21230/09:00158161 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Robust Voice Activity Detection Algorithm for Noisy Speech

Original language description

An alternative low-complexity method to identify voice and silence regions of a speech signal is introduced in this paper. The algorithm performance is compared with some other voice classification techniques which are based on energy thresholding. To detect the voice proposed algorithm uses periodicity measure and ratio of high-frequency signal energy to low-frequency signal energy. Total signal energy is also used for voice/silence classification. However, no initial decision about voice detection isbased on the total energy level alone. This makes the algorithm less susceptible to variable acoustic environment. Furthermore, it is possible to use this voice detection scheme for very low-energy speech, which in turn makes the detection more robust insituations where a poor quality microphone is used or where the microphone recording level is low.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JA - Electronics and optoelectronics

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2009

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

11th International Conference RTT 2009

ISBN

978-80-01-04410-0

ISSN

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e-ISSN

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Number of pages

4

Pages from-to

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Publisher name

České vysoké učení technické v Praze

Place of publication

Praha

Event location

Srby

Event date

Sep 2, 2009

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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