Recent advances in music generation have enabled the development of systems capable of producing very realistic music: numerous platforms now offer services that let you generate a song as an audio file from a simple prompt describing the intended results. While the technical progress is impressive, the cheap and massive generation of music has also downsides, and AI-generated music now floods music streaming platforms (Deezer recently reported that more than a third of its daily deliveries are AI-generated), containing mainly AI slop with little legitimate use or even fraudulent use.

To monitor this massive flow as well as to be transparent with the end user, Deezer developed a detector of AI-generated content able to detect content generated by various platforms with very high accuracy. Nevertheless, the system can be fooled by some audio manipulations [1] and may not be able to give further insights in cases of hybrid music tracks containing both AI-generated and recorded stems or samples.

The objective of the internship will be to study the detection of various cases of hybrid content in a controlled context.

This position has a start date between beginning of February and end of April 

What you will do:

• Collect data to generate a dataset of hybrid content

• Propose and discuss solutions to the task at hand.

• Develop and evaluate solutions.

[1] Darius Afchar, Gabriel Meseguer-Brocal, Romain Hennequin. AI-Generated Music Detection and Its Challenges. ICASSP 2025

• Master/PhD student in machine learning, signal processing, or related field.

• Knowledge of audio signal processing.

• Good programming skills (preferred Python) for data processing and machine learning model training

• Creativity and autonomy

At Deezer, diversity drives innovation. Whatever makes you uniquely you, your experiences, your way of thinking, your journey, might be exactly what we need.

If this role speaks to you and aligns with your interests and capabilities, even if you don’t meet 100% of the qualifications listed, please give it a try and tell us more! #BeYou