Bridging Sound and Symbol: A Music Transcription System
Abstract & Details
Research Area
Computer Engineering
Keywords
Automatic Music Transcription
Audio to Sheet Music
Machine Learning in Music
Signal Processing
Real-Time Music Transcription
Pitch and Rhythm Detection
Music AI Systems
Musical Notation Generation.
Abstract
The Automatic Music Transcription Mega Project aims to develop a comprehensive system for converting audio recordings of music into readable musical notation. Leveraging advanced techniques in machine learning, signal processing, and artificial intelligence, this project focuses on the accurate identification of musical elements such as pitch, rhythm, and timbre across various genres and instruments. The system will incorporate state-of-the-art algorithms for audio analysis, enabling real-time transcription and enhancing accessibility for musicians and educators. Through extensive dataset training and evaluation, the project seeks to address current limitations in transcription accuracy and scalability, ultimately creating a versatile tool for music composition, education, and preservation. The outcomes are expected to contribute significantly to both academic research and practical applications in the music industry.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Desai Sumit Jitendra | D Y Patil Technical Campus ,Talsande |
| 2 | Kamble Sanika Nagoji | D Y Patil Technical Campus ,Talsande |
| 3 | Bhagat Neha Sunil | D Y Patil Technical Campus ,Talsande |
| 4 | Bhate Udit Rajesh | D Y Patil Technical Campus ,Talsande |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Jitendra, Desai Sumit, Nagoji, Kamble Sanika, Sunil, Bhagat Neha, & Rajesh, Bhate Udit (2025). Bridging Sound and Symbol: A Music Transcription System. International Journal of Advance Research and Innovative Ideas In Education, 11(2), 2703-2706.
MLA Style
Jitendra, Desai Sumit, et al. "Bridging Sound and Symbol: A Music Transcription System." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, 2025, pp. 2703-2706.
IEEE Style
Desai Sumit Jitendra, Kamble Sanika Nagoji, Bhagat Neha Sunil, and Bhate Udit Rajesh, "Bridging Sound and Symbol: A Music Transcription System," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 2, pp. 2703-2706, 2025.
Vancouver Style
Jitendra Desai Sumit, Nagoji Kamble Sanika, Sunil Bhagat Neha, Rajesh Bhate Udit. Bridging Sound and Symbol: A Music Transcription System. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(2):2703-2706.
Harvard Style
Jitendra, Desai Sumit, Nagoji, Kamble Sanika, Sunil, Bhagat Neha, & Rajesh, Bhate Udit (2025) 'Bridging Sound and Symbol: A Music Transcription System', International Journal of Advance Research and Innovative Ideas In Education, 11(2), pp. 2703-2706.
Chicago Style
Jitendra, Desai Sumit, et al. "Bridging Sound and Symbol: A Music Transcription System." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 2703-2706.
Turabian Style
Jitendra, Desai Sumit, et al. "Bridging Sound and Symbol: A Music Transcription System." International Journal of Advance Research and Innovative Ideas In Education 11, no. 2 (2025): 2703-2706.
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