-Speech emotion recognition is a rapidly growing field of research that aims to automatically identify emotions from speech signals. This paper presents using machine learning techniques. The study begins by providing an overview the various approaches used in recognition, including feature extraction, selection, and classification. These selected features like pitch, MFCC are compared with exi...

BACKGROUND The concept of facial emotion recognition is well established in various neuropsychiatric disorders. Although emotional disturbances are strongly associated with somatoform disorders, there are a restricted number of studies that have investigated facial emotion recognition in somatoform disorders. Furthermore, there have been no studies that have regarded this issue using the new di...

The speech emotion recognition is a very interesting yet challenging task of human computer interaction. In the recent years this topic has grabbed so much attention. field many techniques have been utilized to extract emotions from signals , including well- established analysis and classification techniques. traditional way features are extracted then selected which collectively know as select...

This work introduces the few-shot learning paradigm in speech emotion recognition domain. Emotional characterization of segments is carried out through analogies, i.e. by assessing similarities and dissimilarities between novel known recordings. More specifically, we designed a Siamese Neural Network modeling such relationships on combined log-Mel temporal modulation spectrogram space. We prese...