Music Information Research Lab

 

We work on the following research topics: music information retrieval, singing voice synthesis, audio source separation, music and audio processing.

Our current challenges are: 

  • Exploit the multimodal character of music to enhance its automatic processing.
  • Reduce the semantic gap between automatic features and user descriptors through user-centered paradigms.
  • Connect music description and music creation.
  • Incorporate advanced learning techniques for music processing (source separation).
  • Apply our current know-how on singing voice modelling to statistical-based modelling of animal vocalizations.
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