Speech Emotion Recognition (SER) is the process of extracting emotional paralinguistic information from speech. It is a field with growing interest and potential applications in Human-Computer Interaction, content management, social interaction, and as an add-on module in Speech Recognition and Speech-To-Text systems. The performance of such applications depends a lot on a high-quality speech emotion recognition dataset.
Claim dataset: Acted Emotional Speech Dynamic Database
About Dataset
Speech Emotion Recognition (SER) is the process of extracting emotional paralinguistic information from speech. It is a field with growing interest and potential applications in Human-Computer Interaction, content management, social interaction, and as an add-on module in Speech Recognition and Speech-To-Text systems. The performance of such applications depends a lot on a high-quality speech emotion recognition dataset.