Benjamin van Niekerk | DeepAI

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Featured Co-authors

Herman Kamper
63 publications
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Marc-André Carbonneau
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∙ 05/30/2023

Voice Conversion With Just Nearest Neighbors

Any-to-any voice conversion aims to transform source speech into a targe...

0 Matthew Baas, et al. ∙

∙ 05/25/2023

Visually grounded few-shot word acquisition with fewer shots

We propose a visually grounded speech model that acquires new words and ...

0 Leanne Nortje, et al. ∙

∙ 11/03/2021

A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

The goal of voice conversion is to transform source speech into a target...

0 Benjamin van Niekerk, et al. ∙

∙ 08/04/2021

Daft-Exprt: Robust Prosody Transfer Across Speakers for Expressive Speech Synthesis

This paper presents Daft-Exprt, a multi-speaker acoustic model advancing...

0 Julian Zaidi, et al. ∙

∙ 08/02/2021

Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing

Contrastive predictive coding (CPC) aims to learn representations of spe...

0 Benjamin van Niekerk, et al. ∙

∙ 12/14/2020

Towards unsupervised phone and word segmentation using self-supervised vector-quantized neural networks

We investigate segmenting and clustering speech into low-bitrate phone-l...

0 Herman Kamper, et al. ∙

∙ 12/14/2020

Towards localisation of keywords in speech using weak supervision

Developments in weakly supervised and self-supervised models could enabl...

0 Kayode Olaleye, et al. ∙

∙ 05/19/2020

Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge

In this paper, we explore vector quantization for acoustic unit discover...

0 Benjamin van Niekerk, et al. ∙

∙ 04/07/2020

Online Constrained Model-based Reinforcement Learning

Applying reinforcement learning to robotic systems poses a number of cha...

6 Benjamin van Niekerk, et al. ∙

∙ 10/13/2019

If dropout limits trainable depth, does critical initialisation still matter? A large-scale statistical analysis on ReLU networks

Recent work in signal propagation theory has shown that dropout limits t...

0 Arnu Pretorius, et al. ∙

∙ 04/16/2019

Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks

For our submission to the ZeroSpeech 2019 challenge, we apply discrete l...

0 Ryan Eloff, et al. ∙

∙ 07/12/2018

Will it Blend? Composing Value Functions in Reinforcement Learning

An important property for lifelong-learning agents is the ability to com...

0 Benjamin van Niekerk, et al. ∙