IJCOPE Journal

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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 6

Published on: June 2026

AI-MUSICAL KEYBOARD (PRO-SYNTH): A WEB-BASED INTELLIGENT DIGITAL AUDIO WORKSTATION

Anurag Singh Raj Das Farhat Parween Surjendu Sarkar Aditya Kr. Mandal Ravi Sharma Suvankar Barai Rajib Chakrabarty

Department of Computational Science, Brainware University, Kolkata-700125, India

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

Artificial Intelligence and browser-based multimedia technologies are transforming digital music production and interactive entertainment. This paper presents AI-Musical Keyboard (Pro-Synth), a lightweight web-based intelligent musical keyboard developed using HTML5, CSS3, JavaScript ES6, Web Audio API, Canvas API, and MediaRecorder API. The proposed system enables real-time digital sound synthesis directly within modern web browsers without requiring dedicated hardware or external software installations. The platform supports multiple virtual instruments including Acoustic Grand Piano, Organ, Harmonium, and Indian Sanai using Frequency Modulation (FM) synthesis, waveform manipulation, harmonic layering, and Low-Frequency Oscillator (LFO) modulation. The system also supports polyphonic playback, live audio visualization, recording, and downloadable audio export. AI-inspired functionalities such as chord suggestion, harmonic assistance, adaptive note highlighting, and pattern analysis improve musical learning and interaction. Experimental analysis demonstrates low-latency audio generation with efficient browser compatibility and lightweight offline-capable performance.

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Keywords— Artificial Intelligence; Web Audio API; Digital Audio Workstation; FM Synthesis; Polyphonic Playback; Browser-Based Synthesizer

How to Cite this Paper

Singh, A., Das, R., Parween, F., Sarkar, S., Mandal, A. K., Sharma, R., Barai, S. & Chakrabarty, R. (2026). AI-Musical Keyboard (Pro-Synth): A Web-Based Intelligent Digital Audio Workstation. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i5.731

Singh, Anurag, et al.. "AI-Musical Keyboard (Pro-Synth): A Web-Based Intelligent Digital Audio Workstation." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.731.

Singh, Anurag,Raj Das,Farhat Parween,Surjendu Sarkar,Aditya Mandal,Ravi Sharma,Suvankar Barai, and Rajib Chakrabarty. "AI-Musical Keyboard (Pro-Synth): A Web-Based Intelligent Digital Audio Workstation." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.731.

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References


  1. Mozilla Developer Network (MDN), “Web Audio API Documentation,”

  2. W3C, “Web Audio API Specification,”

  3. Flanagan, JavaScript: The Definitive Guide, 7th       ed.,       O’Reilly   Media,      2020.

  4. Farnell, Designing Sound, MIT Press, 2010.

  5. C. Author, “Title of Book,” xth ed. City, Country: Publisher, Year.

  6. D. Author et al., “Conference Paper Title,” in Proc. IEEE Conf., Year, pp. 1–6.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: Jun 04 2026
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