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What is Laughter and Filler Detection in Audio about?

This document describes research on detecting laughter and filler sounds in natural speech audio using deep learning techniques. The researchers propose improvements over an existing deep neural network (DNN) system, including combining spectral features with pitch information and using a wider context window for feature extraction. They also propose using a convolutional neural network (CNN) for classification. The systems are evaluated on conversational telephone speech and a naturalistic audio corpus, sh

Author

Óscar Moreno

Language

EN