Bridging Sound and Symbol: A Music Transcription System

April 2025
Vol-11, Issue-2
Paper ID: 26318
ISSN: 2395-4396
Downloads: 0

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.

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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