Now the human emotions can be recognized from speech signals using machine learning
methods; however, they are challenged by the lower recognition accuracies in real …

Automatic emotion recognition from speech signals is one of the important research areas.
Most speech emotion recognition methods have been proposed, among which ensemble …

Research on Speech Emotion Recognition is becoming more mature day by day, and a lot
of research is being carried out on Speech Emotion Recognition in resource-rich languages …

Affective computing studies and develops systems capable of detecting humans affects. The
search for universal well-performing features for speech-based emotion recognition is …

Automatic emotion recognition from speech signals is an important research area. Many
speech emotion recognition (SER) methods have been proposed, among which ensemble …

Emotion recognition plays a significant role in Human Computer Interaction (HCI) field for
effective communication. The aim of this study is to built a generic emotion recognition …

With the emergence of systems such as Amazon Echo, Google Home, and Siri, voice has
become a prevalent mode for humans to interact with machines. Emotion detection from …

The real challenge in human-computer interaction is understanding human emotions by
machines and responding to it accordingly. Emotion varies by gender and age of the …

This study explores the development of a speech emotion recognition system for the
Kannada language, using a dataset of audio recordings labeled with six emotion categories …

Despite the great progress made in Artificial Intelligence, the machine couldn't identify the
emotional state of the speaker as it is hard for even to human. The research works have …