DocumentCode
2177346
Title
Robust voice activity detection algorithm using spectrum estimation and dynamic thresholding
Author
Zenteno, Efrain ; Sotomayor, Manuel
Author_Institution
Telecommun. Eng., Univ. Catolica San Pablo, Arequipa, Peru
fYear
2009
fDate
10-11 Sept. 2009
Firstpage
1
Lastpage
5
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.
Keywords
Fourier transforms; signal detection; speech processing; DSP plataform; digital speech processing; dynamic thresholding; short time Fourier transform; spectrum estimation; voice activity detection algorithm; Detection algorithms; Fourier transforms; Frequency; Robustness; Signal to noise ratio; Spectral analysis; Spectrogram; Speech analysis; Speech enhancement; Speech processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2009. LATINCOM '09. IEEE Latin-American Conference on
Conference_Location
Medellin
Print_ISBN
978-1-4244-4387-1
Electronic_ISBN
978-1-4244-4388-8
Type
conf
DOI
10.1109/LATINCOM.2009.5304908
Filename
5304908
Link To Document