Extracting Characteristics of Speaker's Voice Harmonic Spectrum - Design of Human Voice Feature Extraction Technique

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F13%3A39896081" target="_blank" >RIV/00216275:25410/13:39896081 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.5220/0004593502730277" target="_blank" >http://dx.doi.org/10.5220/0004593502730277</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0004593502730277" target="_blank" >10.5220/0004593502730277</a>

Result language
angličtina
Original language name
Extracting Characteristics of Speaker's Voice Harmonic Spectrum - Design of Human Voice Feature Extraction Technique
Original language description
This paper describes the design of a technique used to extract harmonic spectrum characteristics of human voice. The voice characteristic can be used for a speaker identification process. The cepstral analysis is the most popular method, which uses a Mel-Frequency Cepstral Coefficient vector as unique characteristics of given speaker voice. This method provides only limited reliability. The harmonic spectrum based on fundamental frequency of speaker?s voice can extend the characteristic vector by more values. The extended characteristics can provide better reliability of the speaker identification.
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 8th International Joint Conference on Software Technologies
ISBN
978-989-8565-68-6
ISSN
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e-ISSN
—
Number of pages
5
Pages from-to
273-277
Publisher name
SciTePress - Science and Technology Publications
Place of publication
Porto
Event location
Reykjavík
Event date
Jul 29, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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