Music Technology Group

Specialized in audio signal processing, music information retrieval, musical interfaces, and computational musicology

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Cátedra UPF-BMAT en IA y Música

Harnessing the potential of AI by developing applications and training professionals capable of leading the transformation and renewal of the music sector

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Open-source library and AI models for audio and music analysis

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Participation to ICASSP 2017

Participation to ICASSP 2017

06.03.2017
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Jordi Pons participates to the 42th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2017) which takes place in New Orleans, USA, on March 5-9, 2017. He presents the following paper done in the context of the Maria de Maeztu DTIC strategic program.

Jordi Pons and Xavier Serra. "Designing Efficient Architectures for Modeling Temporal Features with Convolutional Neural Networks."

 

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