Oriol Nieto

Senior Audio Research Engineer

San Francisco

Oriol (Uri) Nieto (he/him or they/them) is a Senior Audio Research Engineer at the Audio Research Group in San Francisco. He previously was a Staff Scientist in the Radio and Music Informatics team at Pandora, and holds a PhD from the Music and Audio Research Laboratory of New York University.

His research focuses on topics such as music information retrieval, large scale recommendation systems, music generation, and machine learning on audio with especial emphasis on deep architectures. His PhD thesis is about trying to better teach computers at “understanding” the structure of music. You can find it here. Uri develops open source Python packages (such as msaf), plays guitar, violin, cajón, and sings (and screams) in his spare time.

For more information, please visit Uri’s personal website.

Publications

Deep Embeddings and Section Fusion Improve Music Segmentation

Salamon, J., Nieto, O., Bryan, N. (Nov. 8, 2021)

International Society for Music Information Retrieval Conference (ISMIR)

Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications

Nieto, O., Mysore, G., Wang, C., Smith, J., Schlüter, J., Grill, T., McFee, B. (Dec. 11, 2020)

Transactions of the International Society for Music Information Retrieval (TISMIR)