AUTOMATIC SEGMENTATION OF LAUGH IN SPEECH SIGNALS
The paper studies the application of some machine learning methods for the fragments separation of laughter from speech in speech signals. The implementation of the systems is tested on the basis of the proposed methods.
Keywords: speech recognition, machine learning, support vector machines, deep belief networks
