Abstract
Understanding emotions from speech is like deciphering a rich tapestry of human expression in the realm of human-computer interaction. It's akin to listening to someone's tone and inflection to discern whether they're happy, surprised, or experiencing a range of other feelings. Researchers use a variety of techniques, from analyzing speech patterns to utilizing advanced technologies like fMRI, to decode these emotional cues. Emotions aren't just simple labels; they're complex and nuanced, demanding sophisticated methods for accurate interpretation. Some methods break emotions down into simple categories, while others embrace the intricacies of human emotion, treating them as continuous variables. Ultimately, the goal is to enhance communication between humans and computers by enabling machines to understand and respond appropriately to our emotional states. This pursuit underscores the significance of emotion detection in speech analysis and highlights the need for continually evolving methodologies in human-computer interaction research.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have