We present a data-mining experiment on feature selection for automatic emotion recognition. Starting from more than 1000 features derived from pitch, energy and MFCC time series, ...
In this paper we present a study of automatic speech recognition systems using context-dependent phonemes and graphemes as sub-word units based on the conventional HMM/GMM system a...
In this paper a completely automatic face recognition system is presented. The method works on color images: after having localized the face and the facial features, it determines...
We analyze humorous spoken conversations from a classic comedy television show, FRIENDS, by examining acousticprosodic and linguistic features and their utility in automatic humor...
Feature selection and dimensionality reduction are crucial research fields in pattern recognition. This work presents the application of a novel technique on dimensionality reducti...