Contact: jordi < dot > pons < at > dolby < dot > com
Links:    LinkedIN
   Curriculum vitae (September 2018)    GitHub
   @jordiponsdotme    Google Scholar
  1. Dolby Laboratories   Since 2019 (Barcelona / San Francisco)
      Deep learning research on music and audio.
  2. PhD student  2015 – 2019 (Barcelona)
      UPF – Music Technology Group.
      Deep learning for music and audio tagging.
  3. Telefónica Research Internship      Summer 2018 (Barcelona)
      Training neural audio taggers with few data.
  4. Pandora Radio Internship  Summer 2017 (USA, Oakland – Bay Area)
      Deep learning for music tagging at scale.
  5. German Hearing Center  Summer 2015 (Hannover)
      Improving cochlear implant users music
    perception using source separation.
  6. Master in Sound & Music Computing
      2014 – 2015 (Barcelona)
      UPF – Music Technology Group.
  7. IRCAM Internship  Sept. 2013 – Aug. 2014 (Paris)
      Source separation for drums transcription.
  8. Telecommunications Engineer  2009 – 2014 (Barcelona)
      Universitat Politècnica de Catalunya.
  9. Conservatory  2002 – 2006 (Girona)
      Piano, clarinet and harmony studies.

Awards:

  • Cum laude mention for my doctoral thesis on “Deep neural networks for music and audio tagging” (2019).
  • Finalist of the Big Data Talent Awards (2019) for my doctoral thesis on “Deep neural networks for music and audio tagging”.
  • Best student paper award for End-to-end learning for music audio tagging at scale in the 19th International Society for Music Information Retrieval Conference (ISMIR, 2018).
  • AI Grant Fellowship (2017) for the creation of Freesound Datasets.
  • Machine Learning award for the poster Towards a grounded deep learning paradigm for music modeling in the 5th DTIC-UPF Doctoral Student Workshop (2017).
  • Best paper award for Experimenting with Musically Motivated Convolutional Neural Networks in the 14th International Workshop on Content-Based Multimedia Indexing (CBMI, 2016).

Bio:
Jordi Pons is a researcher at Dolby Laboratories. Previously, he received a PhD in music technology, large-scale audio collections, and deep learning at the Music Technology Group (Universitat Pompeu Fabra, Barcelona). He also recieved a MSc in sound and music computing (Universitat Pompeu Fabra, Barcelona), and his BSc was in telecommunications engineering (Universitat Politècnica de Catalunya, Barcelona). He also interned at IRCAM (Paris), at the German Hearing Center (Hannover), at Pandora Radio (USA, Bay Area), and at Telefónica Research (Barcelona).