Pitch Detection Algorithms and Voiced/Unvoiced Classification for Noisy Speech
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00158156" target="_blank" >RIV/68407700:21230/09:00158156 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Pitch Detection Algorithms and Voiced/Unvoiced Classification for Noisy Speech
Original language description
This paper describes pitch tracking techniques, which combine voiced/unvoiced classification and pitch estimation based on cepstral analysis, time autocorrelation, spectro-temporal autocorrelation (STA) and average magnitude difference function (AMDF). Pre- and post processing techniques improving performance of pitch detection algorithms (PDAs) are also presented. PDAs have been evaluated by telephone speech signals, corrupted by additive noise, in order to provide comparison and demonstrate thein performance and robustness. Speech signals used for evaluation were taken from the Czech telephone speech database consisted of 5 male and 5 female speakers.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
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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