Volume 20 No 20 (2022)
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Face Expression and Emotion Detection by using Machine learning and Music Recommendation
Prince Kumar ,Gouri Sankar Mishra ,Tarun Maini ,Pradeep Kumar Mishra , Shubham Dubey , Shivam Sharma
Abstract
Most of us listen to music to feel emotions. Your negative mood might be lifted by music. Currently existing music systems let you listen to chosen music and suggest songs in categories depending on your interests or the tastes of other users. Music fans cannot completely depend on such methods and therefore do not prefer to listen to music on the station or online while such sound systems are not created with the emotions elicited in mind. In this work, we provide a music system based on sentiment. Our Raspberry Pi-based system plays tunes based on the ambiance of the room using a speaker, a microphone, and a Raspberry Pi. The emotion of the recorded background sounds is assessed using a classification issue based on machine learning. For this categorization, we make use of a simple Bayesian classifier. Using the song's Bits per Minute pace to identify songs with comparable emotional content.
Keywords
Face-extraction, music suggestion, emotion recognition, and real-time image capture
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