Mood Based Music Recommendation using Voice Analysis

Author(s)	G V L Narayana, Vysyaraju Bhavya, Sanjeevi Sravya, Ragolu Nagalakshmi, Talasu Nikitha
Country	India
Abstract	We're developing a mobile app that suggests music based on a user's current emotional state. Users speak into their device, and the voice input is securely processed through an AWS backend. Emotional features are extracted using speech pattern and tone analysis via NLTK. A machine learning model then classifies the mood into categories like energy, calmness, sadness, or happiness. The app instantly recommends music that aligns with the detected mood.
Field	Engineering
Published In	Volume 16, Issue 2, April-June 2025
Published On	2025-05-01
Cite This	Mood Based Music Recommendation using Voice Analysis - G V L Narayana, Vysyaraju Bhavya, Sanjeevi Sravya, Ragolu Nagalakshmi, Talasu Nikitha - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.4162
DOI	https://doi.org/10.71097/IJSAT.v16.i2.4162
Short DOI	https://doi.org/g9g7z5

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