Deep learning models to remix music for cochlear implant users

Tom Gajęcki, Waldo Nogueira
  • The Journal of the Acoustical Society of America, June 2018, Acoustical Society of America (ASA)
  • DOI: 10.1121/1.5042056

Deep Learning Models to Remix Music for Cochlear Implant Users

What is it about?

This article uses deep learning models to increase the singing vocal's presence in pop music and investigates how many of the introduced artifacts are perceived by cochlear implant users.

Why is it important?

This work is important for the future design for the audio source separation problem in the context of cochlear implant research.

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The following have contributed to this page: Tom Gajecki