Hardware reusable design of feature extraction for distributed speech recognition

  • Authors:
  • V. Rodellar-Biarge;C. Gonzalez-Concejero;E. Martinez De Icaya;A. Alvarez-Marquina;P. Gómez-Vilda

  • Affiliations:
  • Departamento de Arquitectura y Tecnología de Sistemas Informáticos, Facultad de Informática, Universidad Politécnica de Madrid, Madrid, Spain;Departamento de Arquitectura y Tecnología de Sistemas Informáticos, Facultad de Informática, Universidad Politécnica de Madrid, Madrid, Spain;Departamento de Arquitectura y Tecnología de Sistemas Informáticos, Facultad de Informática, Universidad Politécnica de Madrid, Madrid, Spain;Departamento de Arquitectura y Tecnología de Sistemas Informáticos, Facultad de Informática, Universidad Politécnica de Madrid, Madrid, Spain;Departamento de Arquitectura y Tecnología de Sistemas Informáticos, Facultad de Informática, Universidad Politécnica de Madrid, Madrid, Spain

  • Venue:
  • AEE'07 Proceedings of the 6th conference on Applications of electrical engineering
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The design and implementation of a speech-feature extraction front-end module compliant to the Standard Aurora for Distributed Speech Recognition Systems (DSR) is presented in this paper. The design has been oriented towards its reusability in reconfigurable logic implementations. The number of samples of a frame, energy bands and mel-Cepstrum coefficients are parameterized. The design has been modelled in VHDL according to the restrictions and recommendations for high level synthesis, being portable among different EDA tools and technologically independent. The resulting design may be used as a core in the implementation of the client front-end part of Standard Aurora.