Frication and Voicing Classification

  • Authors:

  • Luis M. Jesus;Philip J. Jackson

  • Affiliations:

  • Escola Superior de Saúde da Universidade de Aveiro, and Instituto de Engenharia Electrónica e Telemática de Aveiro, Aveiro, Portugal 3810 - 193;Centre for Vision, Speech & Signal Processing, University of Surrey, Guildford, UK GU2 7XH

  • Venue:
  • PROPOR '08 Proceedings of the 8th international conference on Computational Processing of the Portuguese Language
  • Year:
  • 2008

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Abstract

Phonetic detail of voiced and unvoiced fricatives was examined using speech analysis tools. Outputs of eight f0 trackers were combined to give reliable voicing and f0 values. Log - energy and Mel frequency cepstral features were used to train a Gaussian classifier that objectively labeled speech frames for frication. Duration statistics were derived from the voicing and frication labels for distinguishing between unvoiced and voiced fricatives in British English and European Portuguese.