Journal of Telecommunications and Information Technology (Jun 2023)

Speech Segmentation Algorithm Based on an Analysis of the Normalized Power Spectral Density

  • Dzmitry Pekar,
  • Siarhei Tsikhanenka

DOI
https://doi.org/10.26636/jtit.2010.4.1095
Journal volume & issue
no. 4

Abstract

Read online

This article demonstrates a new approach to speaker independent phoneme detection. The core of the algorithm is to measure the distance between normalized power spectral densities in adjacent, short-time segments and verify it based on velocity of changes of values of short-time signal energy analysis. The results of experiment analysis indicate that proposed algorithm allows revealing a phoneme structure of pronounced speech with high probability. The advantages of this algorithm are absence of any prior information on a signal or model of phonemes and speakers that allows the algorithm to be speaker independent and have a low computation complexity.

Keywords