Authors :
Madhushree S; H.R. Bindu Mahalakshmi; Kavya P; Siddartha Dutt
Volume/Issue :
Volume 10 - 2025, Issue 5 - May
Google Scholar :
https://tinyurl.com/zfsj3vhu
DOI :
https://doi.org/10.38124/ijisrt/25may2332
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Emotion Harmony is an innovative concept that merges artificial intelligence and music to create a deeply
personalized auditory Experience. Designed as an AI-powered music companion, Emotion Harmony leverages advanced
technologies such as machine learning, emotional analysis, and adaptive algorithms to curate music that resonates with an
individual’s emotional state, preferences, and activities. At its core, Emotion Harmony recognizes that music is not just
entertainment; it is a powerful medium for self-expression, emotional regulation, and connection. Whether you're looking
to uplift your mood, focus on a task, relax after a long day, or express complex feelings, this AI companion intuitively
understands your needs and delivers a harmonious soundtrack to enhance your life.
Keywords :
AI Music Therapy, Emotion Detection, Affective Computing, Music Recommendation System, and Personalized Music Experiences. These Keywords are Frequently Searched and Align Closely with Your Study's Focus, Potentially Increasing Engagement with Your Work.
References :
- Conneau, A., Khandelwal, K., Goyal, N., Chaudhary, V., Wenzek, G., Guzmán, F., ... & Stoyanov, V. (2020). Unsupervised Cross-lingual Representation Learning at Scale. arXiv preprint arXiv:1911.02116.
- Liu, Y., Ott, M., Goyal, N., Du, J., Joshi, M., Chen, D., ... & Stoyanov, V. (2019). RoBERTa: A Robustly Optimized BERT Pretraining Approach. arXiv preprint arXiv:1907.11692.
- Sun, C., Huang, L., & Qiu, X. (2019). Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence. arXiv preprint arXiv:1903.09588.
- Rietzler, A., Stabinger, S., Opitz, P., & Englmeier, K. (2019). Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification. arXiv preprint arXiv:1908.11860.
- Mishra, A., Yannakoudakis, H., & Shutova, E. (2019). Tackling Online Abuse: A Survey of Automated Abuse Detection Methods. Journal of Artificial Intelligence Research, 63, 217-292.
- Tohidinasab, Z., & Rahgozar, M. (2019). A comprehensive framework for sentiment analysis in product reviews using deep learning. Journal of Information Science, 45(3), 360-375.
Emotion Harmony is an innovative concept that merges artificial intelligence and music to create a deeply
personalized auditory Experience. Designed as an AI-powered music companion, Emotion Harmony leverages advanced
technologies such as machine learning, emotional analysis, and adaptive algorithms to curate music that resonates with an
individual’s emotional state, preferences, and activities. At its core, Emotion Harmony recognizes that music is not just
entertainment; it is a powerful medium for self-expression, emotional regulation, and connection. Whether you're looking
to uplift your mood, focus on a task, relax after a long day, or express complex feelings, this AI companion intuitively
understands your needs and delivers a harmonious soundtrack to enhance your life.
Keywords :
AI Music Therapy, Emotion Detection, Affective Computing, Music Recommendation System, and Personalized Music Experiences. These Keywords are Frequently Searched and Align Closely with Your Study's Focus, Potentially Increasing Engagement with Your Work.