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Teresa Pelinski

3 papers hereh-index 434 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CY1
  • cs.HC1
  • cs.SD1

identity via Semantic Scholar / OpenAlex

most citedPipeline for recording datasets and running neural networks on the Bela embedded hardware platform

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

cs.HC2026

Rescuing Performance from the Demo: Co-Designing Drum Gesture Mappings with a Percussionist

Jordie Shier, Teresa Pelinski, Charalampos Saitis +2

Augmenting instruments with sensors and neural network mappings is a well-explored digital musical instrument design approach. While augmentations can create new expressive opportu…

cs.CY2023

AI (r)evolution -- where are we heading? Thoughts about the future of music and sound technologies in the era of deep learning

Giovanni Bindi, Nils Demerlé, Rodrigo Diaz +18

Artificial Intelligence (AI) technologies such as deep learning are evolving very quickly bringing many changes to our everyday lives. To explore the future impact and potential of…

cs.SD2023★ 3 cited

Pipeline for recording datasets and running neural networks on the Bela embedded hardware platform

Teresa Pelinski, Rodrigo Diaz, Adán L. Benito Temprano +1

Deploying deep learning models on embedded devices is an arduous task: oftentimes, there exist no platform-specific instructions, and compilation times can be considerably large du…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.