Title
Robust voice activity detection algorithm using spectrum estimation and dynamic thresholding
Date Issued
01 January 2009
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
IEEE Computer Society
Abstract
An algorithm for voice activity detection (VAD) is presented in this paper, it uses the classical short time fourier transform (STFT) followed by dynamic thresholding over the noise floor which allows accurate determination for voiced/unvoiced frame. This algorithm has also been implemented in a DSP plataform to evaluate its performance in real time, where results have shown that such method presents accurate voiced/unvoiced determination under unknown signal to noise ratio (SNR) conditions. © 2009 IEEE.
Language
English
OCDE Knowledge area
Telecomunicaciones
Ingeniería eléctrica, Ingeniería electrónica
Subjects
Scopus EID
2-s2.0-70649084304
Resource of which it is part
2009 IEEE Latin-American Conference on Communications, LATINCOM '09 - Conference Proceedings
ISBN of the container
978-142444388-8
Conference
2009 IEEE Latin-American Conference on Communications, LATINCOM '09 10 September 2009 through 11 September 2009
Sources of information:
Directorio de Producción Científica
Scopus