1 code implementation • 22 May 2023 • 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.
1 code implementation • 16 May 2022 • 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) lower-dimensional projections.
1 code implementation • 3 Dec 2020 • Ruan van der Merwe
Even though the models trained using Triplet Entropy Loss showed a better understanding of the languages and higher accuracies, it appears as though the models still memorise word patterns present in the spectrograms rather than learning the finer nuances of a language.