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  • The paper deals with the increasing accuracy of voice authentication methods. The developed algorithm first extracts segmental parameters, such as Zero Crossing Rate, the Fundamental Frequency and Mel-frequency cepstral coefficients from voice. Based on these parameters, the neural network classifier detects the speaker's emotional state. These parameters shape the distribution of neurons in Kohonen maps, forming clusters of neurons on the map characterizing a particular emotional state. Using regression analysis, we can calculate the function of the parameters of individual emotional states. This relationship increases voice authentication accuracy and prevents unjust rejection.
  • The paper deals with the increasing accuracy of voice authentication methods. The developed algorithm first extracts segmental parameters, such as Zero Crossing Rate, the Fundamental Frequency and Mel-frequency cepstral coefficients from voice. Based on these parameters, the neural network classifier detects the speaker's emotional state. These parameters shape the distribution of neurons in Kohonen maps, forming clusters of neurons on the map characterizing a particular emotional state. Using regression analysis, we can calculate the function of the parameters of individual emotional states. This relationship increases voice authentication accuracy and prevents unjust rejection. (en)
Title
  • Emotional state and its impact on voice authentication accuracy
  • Emotional state and its impact on voice authentication accuracy (en)
skos:prefLabel
  • Emotional state and its impact on voice authentication accuracy
  • Emotional state and its impact on voice authentication accuracy (en)
skos:notation
  • RIV/61989100:27740/13:86086895!RIV14-MSM-27740___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 72700
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27740/13:86086895
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • WAVES; HUMANS; MODULATION; RECOGNITION; EEG; STRESS (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [013FD094CDBA]
http://linked.open...v/mistoKonaniAkce
  • Baltimore
http://linked.open...i/riv/mistoVydani
  • Bellingham
http://linked.open...i/riv/nazevZdroje
  • Proceedings of SPIE - The International Society for Optical Engineering. Volume 8750
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Penhaker, Marek
  • Tomala, Karel
  • Vozňák, Miroslav
  • Řezáč, Filip
  • Šafařík, Jakub
  • Peterek, Tomáš
  • Partila, Pavol
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000324809400005
http://linked.open.../riv/zahajeniAkce
issn
  • 0277-786X
number of pages
http://bibframe.org/vocab/doi
  • 10.1117/12.2015719
http://purl.org/ne...btex#hasPublisher
  • SPIE
https://schema.org/isbn
  • 978-0-8194-9541-9
http://localhost/t...ganizacniJednotka
  • 27740
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