10 citations · 16 across the 9 of their papers we have counts for
3 papers · 1 filter
LinearVC: Linear transformations of self-supervised features through the lens of voice conversion
Herman Kamper, Benjamin van Niekerk, Julian Zaïdi +1
We introduce LinearVC, a simple voice conversion method that sheds light on the structure of self-supervised representations. First, we show that simple linear transformations of s…
Analyzing Speaker Information in Self-Supervised Models to Improve Zero-Resource Speech Processing
Benjamin van Niekerk, Leanne Nortje, Matthew Baas +1
Contrastive predictive coding (CPC) aims to learn representations of speech by distinguishing future observations from a set of negative examples. Previous work has shown that line…
Vector-quantized neural networks for acoustic unit discovery in the ZeroSpeech 2020 challenge
Benjamin van Niekerk, Leanne Nortje, Herman Kamper
In this paper, we explore vector quantization for acoustic unit discovery. Leveraging unlabelled data, we aim to learn discrete representations of speech that separate phonetic con…