Reson Studio: An AI Integrated Digital Audio Workstation for Intelligent and Collaborative Music Production
Abstract
Reson Studio is a browser-oriented Digital Audio
Workstation that integrates artificial intelligence to support modern
music creation workflows. Conventional audio production
tools often require expensive licenses, powerful hardware, and
complex installation procedures, restricting access to students
and independent creators. Reson Studio addresses these challenges
by offering a web-based platform that combines realtime
audio and MIDI processing with AI-assisted composition
features. The system supports multitrack recording, live audio
effects, intelligent melody and chord generation, and collaborative
project management through cloud services. Performance
analysis demonstrates low-latency audio processing and reliable
AI-generated musical assistance, indicating that Reson Studio is
a practical, scalable, and accessible solution for contemporary
digital music production.
Keywords:
Digital Audio Workstation, Artificial Intelligence, Music Generation, Web Audio API, MIDI Processing, Audio EngineeringPublished
Issue
Section
License
Copyright (c) 2026 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Dr. S. Perumal Sankar, P K Renjith, Ahammed Suhail P.I, Aswathy P S, Nithya Mary K J , Sharon K J, iAssist – An Intelligent Reading Assistant for Visually Impaired , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dileepkumar S R, Dr Juby Mathew, An Insight into DevOps: Techniques and Optimal Practices , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Aaron Samuel Mathew, Green Cloud Computing: A Literature Survey , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Akshaya Babu, Amala Saju, Athulya C A, Mary Niya Sebastian, Nisy John Panicker, PlateGuard: Ensuring Security with YOLOv5 ANPR Technology , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Jacob George, Jerin Xavier, Jovin J George, Joyel Xavier, Subini Therese Babu, Pharmaceutical Sales Forecasting using Machine Learning , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Mishal Rose Thankachan, Joshua John Sajit, Merwin Maria Antony, Richa Maria Biju, Richa Maria Biju, Bini M Issac, Pixelyse : ViT- VAE for Document Forgery Detection , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Devasena S K, Diya Elizabeth Sibi, Diya Nair, Gayathri Sreekumar, Lini Ickappan, PulsePatch: A Wearable ECG Patch for Real-Time Arrhythmia Detection and Remote Cardiac Monitoring , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Rehan T Raj, Rinil Johns, Reema Maria Suresh, Reema Maria Suresh, Nehala Noushad, Anishamol Abraham, A Survey of Automatic Brain Tumor Detection and Classification Techniques , International Journal on Emerging Research Areas: Vol. 6 No. 2 (2026): IJERA
- Selin Sam, Ameen Shouketh, Eby Jo, Jithin Russel, Joyal Anto, Muhammed Nihal K, Animal Detection Using Footprint , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Merin Wilson, Muhammed Sajid N, Nandana L P, Nanda Santhosh, Rahul M, Mekha Jose, A Review on Deep Learning and IoT-Based Road Surface Damage Detection , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
You may also start an advanced similarity search for this article.
