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ORCIDBenjamin van Niekerk
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2020 – today
- 2024
[i15]Herman Kamper, Benjamin van Niekerk:
Revisiting speech segmentation and lexicon learning with better features. CoRR abs/2401.17902 (2024)- [i14]Simon Malan, Benjamin van Niekerk, Herman Kamper:
Unsupervised Word Discovery: Boundary Detection with Clustering vs. Dynamic Programming. CoRR abs/2409.14486 (2024) - 2023
- [j3]Benjamin van Niekerk
, Marc-André Carbonneau, Herman Kamper:
Rhythm Modeling for Voice Conversion. IEEE Signal Process. Lett. 30: 1297-1301 (2023) - [c10]Matthew Baas, Benjamin van Niekerk, Herman Kamper:
Voice Conversion With Just Nearest Neighbors. INTERSPEECH 2023: 2053-2057 - [c9]Leanne Nortje, Benjamin van Niekerk, Herman Kamper:
Visually grounded few-shot word acquisition with fewer shots. INTERSPEECH 2023: 3412-3416 - [i13]Leanne Nortje, Benjamin van Niekerk, Herman Kamper:
Visually grounded few-shot word acquisition with fewer shots. CoRR abs/2305.15937 (2023) - [i12]Matthew Baas, Benjamin van Niekerk, Herman Kamper:
Voice Conversion With Just Nearest Neighbors. CoRR abs/2305.18975 (2023) - [i11]Benjamin van Niekerk, Marc-André Carbonneau, Herman Kamper:
Rhythm Modeling for Voice Conversion. CoRR abs/2307.06040 (2023) - 2022
- [c8]Benjamin van Niekerk, Marc-André Carbonneau, Julian Zaïdi, Matthew Baas, Hugo Seuté, Herman Kamper:
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion. ICASSP 2022: 6562-6566 - [c7]Julian Zaïdi, Hugo Seuté, Benjamin van Niekerk, Marc-André Carbonneau:
Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis. INTERSPEECH 2022: 4591-4595 - 2021
- [c6]Herman Kamper, Benjamin van Niekerk:
Towards Unsupervised Phone and Word Segmentation Using Self-Supervised Vector-Quantized Neural Networks. Interspeech 2021: 1539-1543 - [c5]Benjamin van Niekerk, Leanne Nortje, Matthew Baas, Herman Kamper:
Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing. Interspeech 2021: 1554-1558 - [i10]Benjamin van Niekerk, Leanne Nortje, Matthew Baas, Herman Kamper:
Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing. CoRR abs/2108.00917 (2021) - [i9]Julian Zaïdi, Hugo Seuté, Benjamin van Niekerk, Marc-André Carbonneau:
Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis. CoRR abs/2108.02271 (2021) - [i8]Benjamin van Niekerk, Marc-André Carbonneau, Julian Zaïdi, Matthew Baas, Hugo Seuté, Herman Kamper:
A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion. CoRR abs/2111.02392 (2021) - 2020
- [j2]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. Pattern Recognit. Lett. 138: 95-105 (2020) - [c4]Benjamin van Niekerk, Leanne Nortje, Herman Kamper:
Vector-Quantized Neural Networks for Acoustic Unit Discovery in the ZeroSpeech 2020 Challenge. INTERSPEECH 2020: 4836-4840 - [i7]Benjamin van Niekerk, Andreas C. Damianou, Benjamin Rosman:
Online Constrained Model-based Reinforcement Learning. CoRR abs/2004.03499 (2020) - [i6]Benjamin van Niekerk, Leanne Nortje, Herman Kamper:
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge. CoRR abs/2005.09409 (2020) - [i5]Kayode Olaleye, Benjamin van Niekerk, Herman Kamper:
Towards localisation of keywords in speech using weak supervision. CoRR abs/2012.07396 (2020) - [i4]Herman Kamper, Benjamin van Niekerk:
Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks. CoRR abs/2012.07551 (2020)
2010 – 2019
- 2019
- [c3]Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman:
Composing Value Functions in Reinforcement Learning. ICML 2019: 6401-6409 - [c2]Ryan Eloff, André Nortje, Benjamin van Niekerk, Avashna Govender, Leanne Nortje, Arnu Pretorius, Elan Van Biljon, Ewald van der Westhuizen, Lisa van Staden, Herman Kamper:
Unsupervised Acoustic Unit Discovery for Speech Synthesis Using Discrete Latent-Variable Neural Networks. INTERSPEECH 2019: 1103-1107 - [i3]Ryan Eloff, André Nortje, Benjamin van Niekerk, Avashna Govender, Leanne Nortje, Arnu Pretorius, Elan Van Biljon, Ewald van der Westhuizen, Lisa van Staden, Herman Kamper:
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks. CoRR abs/1904.07556 (2019) - [i2]Arnu Pretorius, Elan Van Biljon, Benjamin van Niekerk, Ryan Eloff, Matthew Reynard, Steven James, Benjamin Rosman, Herman Kamper, Steve Kroon:
If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks. CoRR abs/1910.05725 (2019) - 2018
- [i1]Benjamin van Niekerk, Steven James, Adam Christopher Earle, Benjamin Rosman:
Will it Blend? Composing Value Functions in Reinforcement Learning. CoRR abs/1807.04439 (2018) - 2017
- [c1]Benjamin van Niekerk, Andreas C. Damianou, Benjamin Rosman:
Online Constrained Model-based Reinforcement Learning. UAI 2017 - 2015
- [j1]Sheng Bau, Benjamin van Niekerk, David White:
An Intermediate Value Theorem for the Decycling Numbers of Toeplitz Graphs. Graphs Comb. 31(6): 2037-2042 (2015)
Coauthor Index
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