A fundamental frequency estimation method for tonal sounds inspired on bird song studies

TL;DR

This paper introduces a fast, frequency-domain method for estimating fundamental frequency in tonal sounds, initially designed for bird song analysis but adaptable to other applications, with an open-source Python implementation.

Contribution

It presents a novel, efficient frequency-domain algorithm for fundamental frequency estimation, tailored for tonal sounds like bird songs, with accessible open-source code.

Findings

Effective in analyzing Canary bird songs

Fast computational performance

Open-source implementation available

Abstract

A fast implementation of fundamental frequency estimation is presented in this work. The algorithm is based on a frequency-domain approach. It was mainly develop for tonal sounds and used in Canary bird song analysis. The method was implemented but not restricted for this kind of data. It could be easily adapted for other proposes. Python libraries were used to develop a code with a simple algorithm to obtain fundamental frequency. A simple open source code is provided in the local university repository.