Robust voice activity detection algorithm using spectrum estimation and dynamic thresholding

info:eu-repo/semantics/conferenceObject

Fecha

2009

Registro en:

urn:isbn:9781424443888

http://repositorio.ucsp.edu.pe/handle/UCSP/15904

https://doi.org/10.1109/LATINCOM.2009.5304908

https://repositorioslatinoamericanos.uchile.cl/handle/2250/6477716

Institución

Universidad Católica San Pablo (Perú)

Resumen

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.

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