Differentiate the music genre from an audio file

The project aims to develop a system that can automatically differentiate between various music genres based on the characteristics of the audio file.

To achieve this, the project will use machine learning techniques such as deep neural networks to analyze and classify audio files based on features such as pitch, rhythm, tempo, and instrumentation. The system will be trained on a large dataset of audio files from different music genres, allowing it to accurately identify and classify music based on its genre.

The project has a wide range of potential applications, such as music recommendation systems, automatic music tagging and categorization, and music metadata generation. By exploring the boundaries between music genres and audio files, the project seeks to develop a deeper understanding of the fundamental characteristics of music and sound, and how these can be leveraged to create new and innovative technologies for the music industry.

Built With

• python
• tensorflow