1 citations · 1 across the 5 of their papers we have counts for
5 papers
Spoken-Term Discovery using Discrete Speech Units
Benjamin van Niekerk, Julian Zaïdi, Marc-André Carbonneau +1
Discovering a lexicon from unlabeled audio is a longstanding challenge for zero-resource speech processing. One approach is to search for frequently occurring patterns in speech. W…
Revisiting speech segmentation and lexicon learning with better features
Herman Kamper, Benjamin van Niekerk
We revisit a self-supervised method that segments unlabelled speech into word-like segments. We start from the two-stage duration-penalised dynamic programming method that performs…
Rhythm Modeling for Voice Conversion
Benjamin van Niekerk, Marc-André Carbonneau, Herman Kamper
Voice conversion aims to transform source speech into a different target voice. However, typical voice conversion systems do not account for rhythm, which is an important factor in…
Voice Conversion With Just Nearest Neighbors
Matthew Baas, Benjamin van Niekerk, Herman Kamper
Any-to-any voice conversion aims to transform source speech into a target voice with just a few examples of the target speaker as a reference. Recent methods produce convincing con…
Visually grounded few-shot word acquisition with fewer shots
Leanne Nortje, Benjamin van Niekerk, Herman Kamper
We propose a visually grounded speech model that acquires new words and their visual depictions from just a few word-image example pairs. Given a set of test images and a spoken qu…