Enigma Sound : AI driven Music Generation with Emotional Intelligence

AI-driven music generation with emotional intelligence(EI) is a new discipline that blends emotional detection and artificial intelligence to create personalised musical experiences. The Artificial Intelligence(AI) system can analyze data from various sources such as user inputs, physiological signals, facial expressions, among many others,in order to create music in resonance with an individual’s emotional state. This project aims at developing an AI system that enables the design and generation of music which recognizes and responds to the human emotions through incorporation of emotional intelligence. The system will recognize the user’s emotional state and produce music that responds to their needs by using face identification, text analysis, and audio processing. These systems use natural language processing and deep learning models to comprehend emotions and generate music.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/ccis63231.2024.10932090
Primary Topic
Music Technology and Sound Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Enigma Sound : AI driven Music Generation with Emotional Intelligence

Sudeep Surendran, Apurva Patil, Neeta Ranade
Music Technology and Sound Studies
article

Enigma Sound : AI driven Music Generation with Emotional Intelligence

Sudeep Surendran, Apurva Patil, Neeta Ranade
article en

Abstract

AI-driven music generation with emotional intelligence(EI) is a new discipline that blends emotional detection and artificial intelligence to create personalised musical experiences. The Artificial Intelligence(AI) system can analyze data from various sources such as user inputs, physiological signals, facial expressions, among many others,in order to create music in resonance with an individual’s emotional state. This project aims at developing an AI system that enables the design and generation of music which recognizes and responds to the human emotions through incorporation of emotional intelligence. The system will recognize the user’s emotional state and produce music that responds to their needs by using face identification, text analysis, and audio processing. These systems use natural language processing and deep learning models to comprehend emotions and generate music.

Openalex Percentile: Top 71%
Music Technology and Sound Studies
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