HMM and EHMM Based Voice Activity Detectors and Design of Testing Platform for VAD Classification

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A00149485" target="_blank" >RIV/68407700:21230/08:00149485 - 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
HMM and EHMM Based Voice Activity Detectors and Design of Testing Platform for VAD Classification
Original language description
The usage of LR and ergodic Markov models in voice activity detection and VAD testing platform is presented in this article. These detectors based on HMMs and EHMMs reach better results than traditional energy or cepstral detectors. The testing of suggested algorithms were realized with data recorded in running car and the contribution is evident especially in this very noisy environment. Commonly with the results of experiment the selection of the data and the design of the VAD testing platform is described in this paper. Used speech records consists of isolated digits, different commands, names and were recorded in environment of quiet car without engine, running car or standing car with running engine.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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