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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 2021Show all

2 papers · 1 filter

cs.SD2021

Learning Models for Query by Vocal Percussion: A Comparative Study

Alejandro Delgado, SkoT McDonald, Ning Xu +2

The imitation of percussive sounds via the human voice is a natural and effective tool for communicating rhythmic ideas on the fly. Thus, the automatic retrieval of drum sounds usi…

cs.SD2021★ 4 cited

Transfer Learning for Piano Sustain-Pedal Detection

Beici Liang, György Fazekas, Mark Sandler

Detecting piano pedalling techniques in polyphonic music remains a challenging task in music information retrieval. While other piano-related tasks, such as pitch estimation and on…

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