3 citations · 3 across the 5 of their papers we have counts for
5 papers
Scaling few-shot spoken word classification with generative meta-continual learning
Louise Beyers, Batsirayi Mupamhi Ziki, Ruan van der Merwe
Few-shot spoken word classification has largely been developed for applications where a small number of classes is considered, and so the potential of larger-scale few-shot spoken…
Does language matter for spoken word classification? A multilingual generative meta-learning approach
Batsirayi Mupamhi Ziki, Louise Beyers, Ruan van der Merwe
Meta-learning has been shown to have better performance than supervised learning for few-shot monolingual spoken word classification. However, the meta-learning approach remains un…
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…
Manifold Characteristics That Predict Downstream Task Performance
Ruan van der Merwe, Gregory Newman, Etienne Barnard
Pretraining methods are typically compared by evaluating the accuracy of linear classifiers, transfer learning performance, or visually inspecting the representation manifold's (RM…
Triplet Entropy Loss: Improving The Generalisation of Short Speech Language Identification Systems
Ruan van der Merwe
We present several methods to improve the generalisation of language identification (LID) systems to new speakers and to new domains. These methods involve Spectral augmentation, w…