Hearing loss is a common problem in old people. Nowadays hearing aids compensate these losses and make their life better, but they present some important issues (reduced battery life, requirement of real-time processing). Because of that, the algorithms implemented in these devices must work at low clock rates. Voice Activity Detection (VAD) is one of the main algorithms used in hearing aids, since it is useful for reducing the environmental noise and enhancing the speech intelligibility. In this paper a VAD algorithm will be tested using QUT-NOISE-TIMIT Corpus, with different computational cost constraints and at different locations.

Authors: García-Gómez, Joaquín; Mohíno-Herranz, Inma; Clares-Crespo, César; Fernández-Toloba, Alfredo; Gil-Pita, Roberto
Affiliation: University of Alcalá, Alcalá de Henares, Madrid, Spain
AES Convention: 145 (October 2018) Paper Number: 10111
Publication Date: October 7, 2018
Subject: Perception

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