Laughter detection using ALISP-based N-Gram models

Abstract

Laughter is a very complex behavior that communicates a wide range of messages with different meanings. It is highly dependent on social and interpersonal attributes. Most of the previous works (e.g. [1, 2]) on automatic laughter detection from audio uses frame-level acoustic features as parameters to train their machine learning techniques, such as… (More)

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