Wyniki wyszukiwania dla: LPC SPECTRUM

• Investigating Feature Spaces for Isolated Word Recognition

  Publikacja

  • P. Treigys
  • G. Korvel
  • G. Tamulevicius
  • J. Bernataviciene
  • B. Kostek

  - Rok 2020

  The study addresses the issues related to the appropriateness of a two-dimensional representation of speech signal for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and time-frequency signal representation converted to the investigated feature spaces. In particular, waveforms and fractal dimension features of the signal were chosen for the time domain, and...

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• PHONEME DISTORTION IN PUBLIC ADDRESS SYSTEMS

  Publikacja

  • I. Kochańska
  • H. Lasota

  - Rok 2015

  The quality of voice messages in speech reinforcement and public address systems is often poor. The sound engineering projects of such systems take care of sound intensity and possible reverberation phenomena in public space without, however, considering the influence of acoustic interference related to the number and distribution of loudspeakers. This paper presents the results of measurements and numerical simulations of the...