Text Independent Methods for Speech Segmentation

نویسندگان

  • Anna Esposito
  • Guido Aversano
چکیده

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.

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تاریخ انتشار 2004