Real-Time Piano Note Frequency Detection Using FPGA and FFT Core

2025/08/30 by Shafayet M. Anik, Anik, Shafayet M., Darshika G. Perera +1
Computer Science · #Audio and Speech Processing (eess.AS) #Digital Filter Design and Implementation #FOS: Computer and information sciences #FOS: Electrical engineering #Hardware Architecture (cs.AR) #Music Technology and Sound Studies #Numerical Methods and Algorithms #Sound (cs.SD) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2509.00589

openalex publication_date 2025/08/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Real-time frequency analysis of musical instruments, such as the piano, is an essential feature in areas like electronic tuners, music visualizers, and live sound monitoring. Traditional methods often rely on software-based digital signal processing (DSP), which may introduce latency and require significant computational power. In contrast, hardware platforms such as FPGAs (Field Programmable Gate Arrays) offer the ability to perform such analyses with greater speed and determinism due to their parallel processing capabilities. The primary objective of this project was to analyze analog audio signals from a digital piano using an FPGA-based real-time Fast Fourier Transform (FFT) system.

Citations

• Analysis of Generalized Hebbian Learning Algorithm for Neuromorphic Hardware Using Spinnaker

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