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Communication Dans Un Congrès Année : 2011

Improving SVF with DISTBIC for Phoneme Segmentation

Résumé

In this paper we examine an application for phoneme segmentation of DISTBIC, a two-pass, textindependent method traditionally used for speaker segmentation. The novelty of this paper is its experimentation with use of the spectral variation function (SVF), a simple non-parametric method for phone segmentation, as a replacement for the distance measure of the first pass of DISTBIC. In doing so we aim to produce a computationally efficient method for text-independent phoneme segmentation that provides good performance. Experiments are carried out on the TIMIT database. We give a performance comparison between the SVF as previously used for segmentation, our DISTBIC-SVF algorithm, and another state-of-the-art algorithm.
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Dates et versions

hal-00647985 , version 1 (04-12-2011)

Identifiants

  • HAL Id : hal-00647985 , version 1

Citer

Joshua Winebarger, Khalid Daoudi, Hussein Yahia. Improving SVF with DISTBIC for Phoneme Segmentation. International Conference Speech and Computer (SPECOM), Sep 2011, Kazan, Russia. ⟨hal-00647985⟩
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