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Description
  • The technique proposed in this work allows for extracting a very low-dimensional vector encoding information about chosen characteristics of audio signal such as: type and level of background noise, reverberation and transmission channel. The reported experimental shows that such information can be very useful for calibration and fusion of speaker verification systems.
  • The technique proposed in this work allows for extracting a very low-dimensional vector encoding information about chosen characteristics of audio signal such as: type and level of background noise, reverberation and transmission channel. The reported experimental shows that such information can be very useful for calibration and fusion of speaker verification systems. (en)
Title
  • A Unified Approach for Audio Characterization and its Application to Speaker Recognition
  • A Unified Approach for Audio Characterization and its Application to Speaker Recognition (en)
skos:prefLabel
  • A Unified Approach for Audio Characterization and its Application to Speaker Recognition
  • A Unified Approach for Audio Characterization and its Application to Speaker Recognition (en)
skos:notation
  • RIV/00216305:26230/12:PU101817!RIV13-MSM-26230___
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  • Z(MSM0021630528)
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  • 120712
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  • RIV/00216305:26230/12:PU101817
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  • audio characterization, speaker recognition, i-vector, calibration metadata (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [96AE3C11D527]
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  • Singapur
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  • Singapur
http://linked.open...i/riv/nazevZdroje
  • Proceedings of Odyssey 2012, The Speaker and Language Recognition Workshop
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  • Burget, Lukáš
  • Plchot, Oldřich
  • Ferrer, Luciana
  • Scheffer, Nicolas
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number of pages
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  • International Speech Communication Association
https://schema.org/isbn
  • 978-981-07-3093-2
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  • 26230
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