Towards a level assessment system of amusement in speech signals: Amused speech components classification
Kevin El Haddad, Huseyin Cakmak, Stéphane Dupont, Thierry Dutoit · 2015
In this paper, we expose our work on classification of smiled vowels, shaking vowels and laughter syllables. This work is part of a larger framework that aims at assessing the level of amusement in speech using only audio cues. Indeed all of these three categories occur in amused speech and are considered to express a different level of amusement. Four novel features are used to accomplish this task. With only those four features, we are able to obtain good classification results with different systems. Among the compared systems, the best one achieved 21.04% error rate, therefore an accuracy well above chance.