Benjamin van Niekerk
Benjamin van Niekerk
Stellenbosch University
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Cited by
Cited by
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge
B van Niekerk, L Nortje, H Kamper
arXiv preprint arXiv:2005.09409, 2020
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
R Eloff, A Nortje, B van Niekerk, A Govender, L Nortje, A Pretorius, ...
arXiv preprint arXiv:1904.07556, 2019
Composing Value Functions in Reinforcement Learning
B Van Niekerk, S James, A Earle, B Rosman
International Conference on Machine Learning, 6401-6409, 2019
Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks
H Kamper, B van Niekerk
arXiv preprint arXiv:2012.07551, 2020
Online constrained model-based reinforcement learning
B van Niekerk, A Damianou, B Rosman
Association for Uncertainty in Artificial Intelligence (AUAI), 2017
Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing
B van Niekerk, L Nortje, M Baas, H Kamper
arXiv preprint arXiv:2108.00917, 2021
Towards localisation of keywords in speech using weak supervision
K Olaleye, B van Niekerk, H Kamper
arXiv preprint arXiv:2012.07396, 2020
A comparison of discrete and soft speech units for improved voice conversion
B van Niekerk, MA Carbonneau, J Za´di, M Baas, H SeutÚ, H Kamper
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech andá…, 2022
Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis
J Za´di, H SeutÚ, B van Niekerk, MA Carbonneau
arXiv preprint arXiv:2108.02271, 2021
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks
A Pretorius, E Van Biljon, B van Niekerk, R Eloff, M Reynard, S James, ...
Pattern Recognition Letters 138, 95-105, 2020
An Intermediate Value Theorem for the Decycling Numbers of Toeplitz Graphs
S Bau, B van Niekerk, D White
Graphs and Combinatorics 31 (6), 2037-2042, 2015
HYPERFORMANCE: Advanced PBS Performance Prediction
RJ Berman, BS Rosman, B Van Niekerk, P Nordengen
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