Skip to main content
EURASIP Journal on Audio, Speech, and Music Processing
Download PDF
  • Research Article
  • Open access
  • Published:

Adaptive V/UV Speech Detection Based on Characterization of Background Noise

EURASIP Journal on Audio, Speech, and Music Processing volume 2009, Article number: 965436 (2009) Cite this article

Abstract

The paper presents an adaptive system for Voiced/Unvoiced (V/UV) speech detection in the presence of background noise. Genetic algorithms were used to select the features that offer the best V/UV detection according to the output of a background Noise Classifier (NC) and a Signal-to-Noise Ratio Estimation (SNRE) system. The system was implemented, and the tests performed using the TIMIT speech corpus and its phonetic classification. The results were compared with a nonadaptive classification system and the V/UV detectors adopted by two important speech coding standards: the V/UV detection system in the ETSI ES 202 212 v1.1.2 and the speech classification in the Selectable Mode Vocoder (SMV) algorithm. In all cases the proposed adaptive V/UV classifier outperforms the traditional solutions giving an improvement of 25% in very noisy environments.

Publisher note

To access the full article, please see PDF.

Author information

Authors and Affiliations

  1. Dipartimento di Ingegneria Informatica e delle Telecomunicazioni, Universita' degli Studi di Catania, Viale Andrea Doria, 6, 95125, Catania, Italy

    F Beritelli, S Casale & A Russo

  2. Dipartimento di Fisica della Materia e Ingegneria Elettronica, Universita' di Messina, Salita Sperone, 31, 98166, Messina, Italy

    S Serrano

Authors
  1. F Beritelli
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. S Casale
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. A Russo
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. S Serrano
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S Serrano.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Beritelli, F., Casale, S., Russo, A. et al. Adaptive V/UV Speech Detection Based on Characterization of Background Noise. J AUDIO SPEECH MUSIC PROC. 2009, 965436 (2009). https://doi.org/10.1155/2009/965436

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1155/2009/965436

Keywords