In large musical catalogs such as in streaming companies, manual curation comes at high cost and the amount of data is considerable with tens of thousands of records delivered every week. Automatic systems trained directly from audio data help streaming companies describing audio recordings in their catalogs as well as creating relations between them. We will take a look at what is done by Deezer R&D’s team in this domain using machine learning techniques, especially representation learning ones.