Mark Sandler

Mark Sandler

Queen Mary University of London

H-index: 55

Europe-United Kingdom

About Mark Sandler

Mark Sandler, With an exceptional h-index of 55 and a recent h-index of 30 (since 2020), a distinguished researcher at Queen Mary University of London,

His recent articles reflect a diverse array of research interests and contributions to the field:

Interactive Neural Resonators

Differentiable modelling of percussive audio with transient and spectral synthesis

Music collection navigation device and method

FM Tone Transfer with Envelope Learning

Computing ecosystems: neural networks and embedded hardware platforms

Exploring experience and expertise in the context of preference for spatial sound treatment in immersive environments

Physical Modelling of Stiff Membrane Vibration using Neural Networks with Spectral Convolution Layers

Polar Manhattan Displacement: measuring tonal distances between chords based on intervallic content

Mark Sandler Information

University

Position

___

Citations(all)

16278

Citations(since 2020)

4787

Cited By

13425

hIndex(all)

55

hIndex(since 2020)

30

i10Index(all)

238

i10Index(since 2020)

87

Email

University Profile Page

Queen Mary University of London

Google Scholar

View Google Scholar Profile

Top articles of Mark Sandler

Title

Journal

Author(s)

Publication Date

Interactive Neural Resonators

arXiv preprint arXiv:2305.14867

Rodrigo Diaz

Charalampos Saitis

Mark Sandler

2023/5/24

Differentiable modelling of percussive audio with transient and spectral synthesis

arXiv preprint arXiv:2309.06649

Jordie Shier

Franco Caspe

Andrew Robertson

Mark Sandler

Charalampos Saitis

...

2023/9/13

Music collection navigation device and method

2023/5/16

FM Tone Transfer with Envelope Learning

Franco Caspe

Andrew McPherson

Mark Sandler

2023/8/30

Computing ecosystems: neural networks and embedded hardware platforms

T Pelinski Ramos

Franco Caspe

Andrew McPherson

Mark Sandler

2023/3/6

Exploring experience and expertise in the context of preference for spatial sound treatment in immersive environments

Angela McArthur

Andrew Johnston

Mark Sandler

Sam Ferguson

Rebecca Stewart

2023/8/23

Physical Modelling of Stiff Membrane Vibration using Neural Networks with Spectral Convolution Layers

C De La Vega Martin

M Sandler

2023

Polar Manhattan Displacement: measuring tonal distances between chords based on intervallic content

Jeff Miller

Johan Pauwels

Mark Sandler

2023/6/20

Rigid-body sound synthesis with differentiable modal resonators

Rodrigo Diaz

Ben Hayes

Charalampos Saitis

György Fazekas

Mark Sandler

2023/6/4

Leveraging Synthetic Data for Improving Chamber Ensemble Separation

S Sarkar

L Thorpe

E Benetos

M Sandler

2023

Deep conditional representation learning for drum sample retrieval by vocalisation

arXiv preprint arXiv:2204.04651

Alejandro Delgado

Charalampos Saitis

Emmanouil Benetos

Mark Sandler

2022/4/10

Improving balance in automatic chord recognition with random forests

Jeff Miller

Ken O'Hanlon

Mark B Sandler

2022/8/29

Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification

arXiv preprint arXiv:2204.04646

Alejandro Delgado

Emir Demirel

Vinod Subramanian

Charalampos Saitis

Mark Sandler

2022/4/10

Transfer learning for violinist identification

Yudong Zhao

György Fazekas

Mark Sandler

2022/8/29

Ddx7: Differentiable fm synthesis of musical instrument sounds

arXiv preprint arXiv:2208.06169

Franco Caspe

Andrew McPherson

Mark Sandler

2022/8/12

Anomalous behaviour in loss-gradient based interpretability methods

arXiv preprint arXiv:2207.07769

Vinod Subramanian

Siddharth Gururani

Emmanouil Benetos

Mark Sandler

2022/7/15

Violinist identification using note-level timbre feature distributions

Yudong Zhao

György Fazekas

Mark Sandler

2022/5/23

Ensembleset: A new high-quality synthesised dataset for chamber ensemble separation

Saurjya Sarkar

Emmanouil Benetos

Mark Sandler

2022/12/8

Vocal harmony separation using time-domain neural networks

S Sarkar

E Benetos

M Sandler

2021

Fifthnet: Structured compact neural networks for automatic chord recognition

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Ken O’Hanlon

Mark B Sandler

2021/4/9

See List of Professors in Mark Sandler University(Queen Mary University of London)

Co-Authors

H-index: 68
Mark D. Plumbley

Mark D. Plumbley

University of Surrey

H-index: 66
Luciano da F. Costa

Luciano da F. Costa

Universidade de São Paulo

H-index: 60
Xavier Serra

Xavier Serra

Universidad Pompeu Fabra

H-index: 55
Juan P Bello

Juan P Bello

New York University

H-index: 54
Simon Dixon

Simon Dixon

Queen Mary University of London

H-index: 48
Geraint Wiggins

Geraint Wiggins

Vrije Universiteit Brussel

academic-engine