Human emotions detection considering speech signals is a field that has attracted the attention of the research community since the last years. Several situations where the human integrity and security is at risk have been addressed; particularly the analysis of speech in emergency calls or in call-centers, are an interesting scenario. This project aimed to develop a methodology to classify different types of emotions such as anger, anxiety, disgust, and desperation, in scenarios where the speech signal is contaminated with noise or is coded by telephone channels.
Automatic recognition of emotions from speech
