About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Conference paper
Voice-based sadness and anger recognition with cross-corpora evaluation
Abstract
Real-life scenarios often require detection of few target emotional categories under a high mismatch between training and operation conditions. We present results of a study on sadness and anger detection with cross-corpora evaluations using two publically available databases. We demonstrate the influence of the mismatch on the detection accuracy comparing cross-corpora results to a single test corpus cross-validation results. We introduce the methodology of representing the broad complementary category by a number of hidden classes. We show performance improvements in sadness and anger detection by using the hidden-classes approach in both cross-corpora and single-corpus evaluations. We explore feature subset selection achieving further improvement in the cross-corpora settings. © 2013 IEEE.