RhythmQuest: Unifying Indian Music Classification and Prediction with Hybrid Deep Learning Techniques-Reference-Cited by-同舟云学术

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RhythmQuest: Unifying Indian Music Classification and Prediction with Hybrid Deep Learning Techniques

Published:2024-03-14 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
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Author:

Kaushik Priyanka¹,Singh Rathore Saurabh Pratap²,Chahal Kartik¹,Saraf Sparsh¹,Singh Chauhan Ganga³,Kumar Pawan⁴

Affiliation:

1. CSE-APEX Chandigarh University,Department of CSE (AIML),Chandigarh,India

2. ICAPSR,Management & Research,New Delhi,India

3. Madhav University,Department of Commerce,Abu Road,India

4. Madhav University,Research & Development Department,Abu Road,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10502389/10502407/10503056.pdf?arnumber=10503056

Reference25 articles.

1. Raag detection in music using supervised machine learning approach

2. Artificial Intelligence Accelerated Transformation in The Healthcare Industry

3. Music genre classification and music recommendation by using deep learning

4. Unleashing the Power of Multi-Agent Deep Learning: Cyber-Attack Detection in IoT

5. Structural-parametric synthesis of deep learning neural networks

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