6 citations · 9 across the 7 of their papers we have counts for
7 papers
Towards hate speech detection in low-resource languages: Comparing ASR to acoustic word embeddings on Wolof and Swahili
Christiaan Jacobs, Nathanaël Carraz Rakotonirina, Everlyn Asiko Chimoto +2
We consider hate speech detection through keyword spotting on radio broadcasts. One approach is to build an automatic speech recognition (ASR) system for the target low-resource la…
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…
Mitigating Catastrophic Forgetting for Few-Shot Spoken Word Classification Through Meta-Learning
Ruan van der Merwe, Herman Kamper
We consider the problem of few-shot spoken word classification in a setting where a model is incrementally introduced to new word classes. This would occur in a user-defined keywor…
A Temporal Extension of Latent Dirichlet Allocation for Unsupervised Acoustic Unit Discovery
Werner van der Merwe, Herman Kamper, Johan du Preez
Latent Dirichlet allocation (LDA) is widely used for unsupervised topic modelling on sets of documents. No temporal information is used in the model. However, there is often a rela…
Unsupervised neural and Bayesian models for zero-resource speech processing
Herman Kamper
In settings where only unlabelled speech data is available, zero-resource speech technology needs to be developed without transcriptions, pronunciation dictionaries, or language mo…