A fuzzy logic based speech extraction approach for e-Learning content production

This paper proposed a fuzzy logic based approach to label speech segments from media files for content production in e-Learning systems. A fuzzy inference system (FIS) was introduced to fuzzify the extracted features extracted from different dimensions. apply predefined rules, and generate an output that represents the degree a clip belonging to speech. We show that our methodology improves the accuracy of the speech detection, and enhances the efficiency and robustness of the voice activity detection (VAD), comparing with the single feature based VAD algorithms.