Low-complexity Voice Activity Detector Using Periodicity and Energy Ratio

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00158154" target="_blank" >RIV/68407700:21230/09:00158154 - 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
Low-complexity Voice Activity Detector Using Periodicity and Energy Ratio
Original language description
An alternative low-complexity method to identify voice and silence regions in a speech signal is introduced in this paper. Its performance, limitations, and some other voice classification techniques which deal with energy estimation are presented as well. The proposed algorithm uses periodicity measure, high-frequency to low-frequency signal energy ratio, and total voice-band signal energy to provide voice/silence classification. According to the experiments results the algorithm is less susceptible tovariable 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 in situations 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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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
IWSSIP 2009 - 16th International Workshop on Systems, Signals and Image Processing
ISBN
978-1-4244-4530-1
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
TEI of Chalkida
Place of publication
Chalkida
Event location
Chalkida
Event date
Jun 18, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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