A low‐complexity speech‐pause detection algorithm for communication in noisy environments

Abstract

AbstractThe paper presents a new low‐complexity algorithm for silence suppression in adverse acoustic environments. The algorithm uses a single time‐domain input parameter (signal power) given to a simple matching block. The decision module adapts a series of thresholds depending on the current estimated signal‐to‐noise‐ratio (SNR) of the signal. A series of tests carried out using a large speech database confirm a 10% improvement in pause detection performance as compared with the AMR VAD option 1 recently adopted by ETSI for 3rd‐generation mobile systems. Copyright © 2004 AEI