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Hi there 👋

  • 🎓 I'm currently pursuing a PhD in Machine Learning for Audio and Music at the Music Technology Group of Universitat Pompeu Fabra.
  • 🎵 My research focuses on the intersection of music and language, with a particular interest in music information retrieval and natural language processing.
  • 📄 For a list of my publications, please visit my ORCID profile or my Google Scholar profile.
  • 🐍 I mostly code in Python and use PyTorch for deep learning.
  • :octocat: I help out with maintaining Freesound

Benno Weck's Projects

audioread icon audioread

cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python

essentia icon essentia

C++ library for audio and music analysis, description and synthesis, including Python bindings

hydra icon hydra

Hydra is a framework for elegantly configuring complex applications

metrics icon metrics

Machine learning metrics for distributed, scalable PyTorch applications.

musicnn-training icon musicnn-training

Tensorflow code for training deep convolutional neural networks for music audio tagging

openl3 icon openl3

OpenL3: Open-source deep audio and image embeddings

pika icon pika

Pure Python RabbitMQ/AMQP 0-9-1 client library

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

wikimute icon wikimute

WikiMuTe: A web-sourced dataset of semantic descriptions for music audio (supplementary material)

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