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Creating an Audio Classification Pipeline for Identifying Classical Music Composers
Latest   Machine Learning

Creating an Audio Classification Pipeline for Identifying Classical Music Composers

Last Updated on November 6, 2023 by Editorial Team

Author(s): Dmytro Iakubovskyi

Originally published on Towards AI.

A step-by-step guide for building the audio-based Machine Learning classification model for several top classical composers and making it live through Hugging Face
Photo by Stefany Andrade on Unsplash

While figuring out the authorship of the classic composed audio may seem an easy task for a trainer human practitioner, it may not be so for a Machine Learning algorithm.

To overcome that difficulty, here I show in detail how one can build their own audio classification pipeline and make it available for the general public using several freely available tools such as:

MusicNet Dataset — a curated collection of 330 freely licensed (CC0: Public Domain) labeled classical music recordings;Kaggle notebooks — a popular wide-purpose service providing, for example, a free tier of NVIDIA TESLA P100 GPURead the full blog for free on Medium.

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