Closed ChethanaPotukanam closed 1 month ago
Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊
Note: I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue.
You can also check our CONTRIBUTING.md for guidelines on contributing to this project.
We are here to help you on this journey of opensource, any help feel free to tag me or book an appointment.
Hello @ChethanaPotukanam! Your issue #816 has been closed. Thank you for your contribution!
Is there an existing issue for this?
Feature Description
Emotions play a significant role in human communication, and the ability to recognise emotions from audio can greatly enhance various applications, including customer service, mental health monitoring, and interactive voice response systems. This project aims to develop a deep learning-based system for accurately recognising emotions from audio recordings.
Use Case
Customer Service Improvement: Detecting emotions to better respond to customer needs. Mental Health Monitoring: Analysing emotional states for early detection of mental health issues. Social Media Analysis: Monitoring emotional trends and responses in social media posts. Educational Tools: Providing feedback on emotional tone in public speaking or language learning.
Benefits
Enhanced User Experience: Providing more empathetic and responsive interactions. Improved Mental Health Support: Offering better monitoring and support for mental health. Increased Efficiency: Automating emotion detection to improve response times. Valuable Insights: Gaining a deeper understanding of user emotions for better decision-making. Technological Advancement: Pushing the boundaries of deep learning applications in audio processing.
Add ScreenShots
No response
Priority
High
Record