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Keyword: Energy-Entropy Feature

Original Article
A Novel Algorithm to Speech Endpoint Detection in Noisy Environments Based on Energy-Entropy Method

Endpoint detection, which means distinguishing speech and non-speech segments, is considered as one of the key preprocessing operations in automatic speech recognition (ASR) systems. Usually the energy of speech signal and Zero Crossing Rate (ZCR), are used to locate the beginning and ending for an utterance. Both of these methods have been shown to be […]