David van Leeuwen

David van Leeuwen

Radboud Universiteit

H-index: 40

Europe-Netherlands

About David van Leeuwen

David van Leeuwen, With an exceptional h-index of 40 and a recent h-index of 23 (since 2020), a distinguished researcher at Radboud Universiteit, specializes in the field of Speech Technology, Condensed Matter Physics.

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

The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning

Speaker and Language Change Detection using Wav2vec2 and Whisper

Multi-task learning of speech and speaker recognition

The temporal WTA circuit: a novel neuromorphic approach for learning to distinguish time-varying stimuli

Towards multi-task learning of speech and speaker recognition

Fine-tuning Wav2vec2. 0 on caption data

A Component Analysis of Neural Network Architectures for Spectral based Audio Source Separation

Fine-tuning wav2vec2 for speaker recognition

David van Leeuwen Information

University

Position

ICIS / FNWI

Citations(all)

5252

Citations(since 2020)

1447

Cited By

5210

hIndex(all)

40

hIndex(since 2020)

23

i10Index(all)

97

i10Index(since 2020)

40

Email

University Profile Page

Radboud Universiteit

Google Scholar

View Google Scholar Profile

David van Leeuwen Skills & Research Interests

Speech Technology

Condensed Matter Physics

Top articles of David van Leeuwen

Title

Journal

Author(s)

Publication Date

The Effect of Batch Size on Contrastive Self-Supervised Speech Representation Learning

arXiv preprint arXiv:2402.13723

Nik Vaessen

David A van Leeuwen

2024/2/21

Speaker and Language Change Detection using Wav2vec2 and Whisper

arXiv preprint arXiv:2302.09381

Tijn Berns

Nik Vaessen

David A van Leeuwen

2023/2/18

Multi-task learning of speech and speaker recognition

arXiv e-prints

Nik Vaessen

David A van Leeuwen

2023/2

The temporal WTA circuit: a novel neuromorphic approach for learning to distinguish time-varying stimuli

David VAN LEEUWEN

Louis TEN BOSCH

2023/12

Towards multi-task learning of speech and speaker recognition

arXiv preprint arXiv:2302.12773

Nik Vaessen

David A van Leeuwen

2023/2/24

Fine-tuning Wav2vec2. 0 on caption data

Thomas Kolb

David van Leeuwen

Louis ten Bosch Doctor

2022/1/19

A Component Analysis of Neural Network Architectures for Spectral based Audio Source Separation

Bas van der Linden

David van Leeuwen

Nik Vaessen

Djoerd Hiemstra

2022/1/17

Fine-tuning wav2vec2 for speaker recognition

Nik Vaessen

David A Van Leeuwen

2022/5/23

Training speaker recognition systems with limited data

arXiv preprint arXiv:2203.14688

Nik Vaessen

David A van Leeuwen

2022/3/28

GASCAR: Genetically Automated Synthesizer Configuration for Audio Replication

Hamzah Al Zubi

David van Leeuwen

Djoerd Hiemstra

2022/3/26

Generating kick drum samples with neural networks

Wouter Damen

David van Leeuwen

Gijs van Tulder

2021/6/6

Sprekend Nederland, a multi-purpose collection of Dutch speech

Linguistics Vanguard

Frans Hinskens

Stefan Grondelaers

David van Leeuwen

2021/2/15

Text-Independent Speaker Recognition

Olga Vishnyakova

David van Leeuwen

Louis ten Bosch

2020/7

See List of Professors in David van Leeuwen University(Radboud Universiteit)

Co-Authors

H-index: 76
Haizhou Li

Haizhou Li

National University of Singapore

H-index: 60
Lukas Burget

Lukas Burget

Vysoké ucení technické v Brne

H-index: 57
Jan van Ruitenbeek

Jan van Ruitenbeek

Universiteit Leiden

H-index: 49
Mark Neerincx

Mark Neerincx

Technische Universiteit Delft

H-index: 47
Jan Cernocky

Jan Cernocky

Vysoké ucení technické v Brne

H-index: 41
Pavel Matejka

Pavel Matejka

Vysoké ucení technické v Brne

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