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Effet du canal sur la reconnaissance automatique de la parole

  • Marc-Antoine Rondeau Beauchamp

Student thesis: Master's thesisMaster in Engineering: Electrical Engineering

Abstract

Changes in the channel’s characteristics increase the number of errors during automatic speech recognition. A new method, which uses the wavelet packet transform, is described in this text. This transform is used to approximate the critical bands of human auditive system. RASTA-PLP coefficients are produced from the energy of the approximated critical bands. Test results, using those coefficients, show an improvement of the robustness to channel’s variation when compared to coefficients produced from a Fourier transform filters bank.
Date8 Jan 2010
Original languageFrench
Awarding Institution
  • École de technologie supérieure
SupervisorGheorghe Marcel Gabrea (Supervisor)

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