Deezer Research is a team of scientists and engineers specialized in Music and Audio Analysis, Natural Language Understanding, and Recommender Systems. |
We're a team of scientists and engineers specialized in Music Analysis, Information Retrieval and Recommendation. |
Deezer Research aims at expanding knowledge about music and how people interact with it. We are a team dedicated to solving complex problems. |
Research team @Deezer - Understanding music and how people relate to it #Music #MIR #RecSys #MachineLearning - also on @researchdeezer@sigmoid.social |
Deezer Research focuses on improving our music streaming service through research in machine learning, data science, and M.I.R. Our team works on developing ... |
RECORDS is a collaborative research project funded through an ANR grant (2020-23). The goal is to improve our understanding of (i) the diversity of users ... |
Spleeter is the Deezer source separation library with pretrained models written in Python and using Tensorflow. It makes it easy to train music source ... |
26 июн. 2024 г. · The recent study analyzed over 100 million music streams from tens of thousands of Deezer users in nine countries*. It uncovered a striking ... |
At Deezer, research fuels a variery of the platform features for discovery and casual listening. There are also a wide scope of related research questions. |
Browse all of our reports, featuring our analysts' expert insights and analysis of audience segmentation, emerging trends and technologies, value chains, ... |
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