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researcher

Mark B. Sandler

Queen Mary University of London

28 papers hereh-index 4810.3k citations487 works total

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

author position
  • middle author2
  • last author25

Across the 27 of 28 papers where every author was matched, so the position is known.

fields
  • cs.SD14
  • cs.AI3
  • cs.MM3
  • cs.CV2
  • cs.LG2
  • cs.DS1
affiliations
  • Queen Mary University of London

identity via Semantic Scholar / OpenAlex

activity
20152022
most citedAutomatic tagging using deep convolutional neural networks

224 citations · 650 across the 25 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cs.SD2022★ 3 cited

Rigid-Body Sound Synthesis with Differentiable Modal Resonators

Rodrigo Diaz, Ben Hayes, Charalampos Saitis +2

Physical models of rigid bodies are used for sound synthesis in applications from virtual environments to music production. Traditional methods such as modal synthesis often rely o…

cs.SD2022★ 12 cited

DDX7: Differentiable FM Synthesis of Musical Instrument Sounds

Franco Caspe, Andrew McPherson, Mark Sandler

FM Synthesis is a well-known algorithm used to generate complex timbre from a compact set of design primitives. Typically featuring a MIDI interface, it is usually impractical to c…

cs.SD2022

Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification

Alejandro Delgado, Emir Demirel, Vinod Subramanian +2

Vocal Percussion Transcription (VPT) is concerned with the automatic detection and classification of vocal percussion sound events, allowing music creators and producers to sketch…

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