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Description
  • This document deals with gender and age estimation from recorded speech based on Gaussian Mixture Models (GMMs). Estimation process is composed of training of models representing appropriate speaker groups and following speaker classification using these trained models. Records from Czech SpeechDat(E) database are used as training and test data set. In order to reduce data size, Mel-Frequency Cepstral Coeficients (MFCC) are extracted speech. Additionally, discriminative training is applied to the trained models to provide further improvement of the results. Finally, obtained results are discussed and explained. Mistakes accompanying the estimation procedure are compared with the mistakes of subjective gender and age estimation by human listeners.<br>
  • This document deals with gender and age estimation from recorded speech based on Gaussian Mixture Models (GMMs). Estimation process is composed of training of models representing appropriate speaker groups and following speaker classification using these trained models. Records from Czech SpeechDat(E) database are used as training and test data set. In order to reduce data size, Mel-Frequency Cepstral Coeficients (MFCC) are extracted speech. Additionally, discriminative training is applied to the trained models to provide further improvement of the results. Finally, obtained results are discussed and explained. Mistakes accompanying the estimation procedure are compared with the mistakes of subjective gender and age estimation by human listeners.<br> (en)
  • Článek je o odhadu pohlaví a věku z řeči (cs)
Title
  • Estimation of Gender and Age from Recorded Speech
  • Estimation of Gender and Age from Recorded Speech (en)
  • Odhad pohlaví a věku z řeči (cs)
skos:prefLabel
  • Estimation of Gender and Age from Recorded Speech
  • Estimation of Gender and Age from Recorded Speech (en)
  • Odhad pohlaví a věku z řeči (cs)
skos:notation
  • RIV/00216305:26230/06:PU66995!RIV07-GA0-26230___
http://linked.open.../vavai/riv/strany
  • 25-32
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/05/0278)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Hubeika, Valiantsina
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 474466
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/06:PU66995
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http://linked.open.../riv/klicovaSlova
  • speech processing, age estimation, gender estimation<br> (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [2F0782187B83]
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  • Praha
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  • Prague
http://linked.open...i/riv/nazevZdroje
  • Proc. ACM Student Research competition 2006
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http://linked.open...vavai/riv/projekt
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  • Hubeika, Valiantsina
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http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • České vysoké učení technické v Praze
https://schema.org/isbn
  • 80-01-03595-6
http://localhost/t...ganizacniJednotka
  • 26230
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