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논문검색

Hybrid Wavelet-Fourier-HMM Speaker Recognition

초록

영어

The paper presents successful experiments on combining two speaker recognition methods into a hybrid system. The rst branch of recognition is an innovative approach based on discrete wavelet-Fourier transform. The second one is classic, based on HTK and classication into voice and unvoice segments. The hybrid solution outperforms both on a small test set. Further tests of this soultion will be conducted and reported.

목차

Abstract
 1 Introduction
 2 Models of voice generation
  2.1 Lungs
  2.2 Larynx
  2.3 Vocal Tract
  2.4 Source- lter model for speech production
 3 Wavelet-Fourier Transform
 4 System architecture
 5 Results
 6 Conclusions
 References

저자정보

  • Bartosz Zio lko Department of Electronics, AGH University of Science and Technology Krakow, Poland
  • Wojciech Koz lowski Department of Electronics, AGH University of Science and Technology Krakow, Poland
  • Mariusz Zio lko Department of Electronics, AGH University of Science and Technology Krakow, Poland
  • Rafa l Samborski Department of Electronics, AGH University of Science and Technology Krakow, Poland
  • David Sierra Department of Electronics, AGH University of Science and Technology Krakow, Poland
  • Jakub Ga lka Department of Electronics, AGH University of Science and Technology Krakow, Poland

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