Publication details
Human speech emotion recognition is the task of automatically detecting the
emotional content conveyed by a person's speech, typically through analysis of
acoustic features such as pitch, amplitude, and spectral content. This area of
research has applications in fields such as human-computer interaction,
healthcare, and psychology, and has been addressed using a variety of
techniques, including machine learning and deep learning. Successful emotion
recognition from speech can enable improved human-computer interaction,
personalized healthcare, and a better understanding of human behavior and
communication.