Text independent methods for speech segmentation

  • Authors:
  • Anna Esposito;Guido Aversano

  • Affiliations:
  • Dipartimento di Psicologia, Seconda Università di Napoli, Caserta, Italy;IIASS, Vietri sul Mare, INFM Salerno, Italy

  • Venue:
  • Nonlinear Speech Modeling and Applications
  • Year:
  • 2005

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Abstract

This paper describes several text independent speech segmentation methods. State-of-the-art applications and the prospected use of automatic speech segmentation techniques are presented, including the direct applicability of automatic segmentation in recognition, coding and speech corpora annotation, which is a central issue in today's speech technology. Moreover, a novel parametric segmentation algorithm will be presented and performance will be evaluated by comparing its effectiveness against other text independent speech segmentation methods proposed in literature.