Speech technologies for african languages: example of a multilingual calculator for education

By Laurent Besacier, Elodie Gauthier, Mathieu Mangeot, P. Bretier, P. Bagshaw, O. Rosec, T. Moudenc, François Pellegrino, Sylvie Voisin, E. Marsico and 1 more. 2015

14 citations recorded by the source corpus.

Subfields: Speech & Audio

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Speech & Audio

1. Wei-Ning Hsu
2. Alexis Conneau
3. Alexei Baevski
4. Michael Auli
5. Abdel-rahman Mohamed
6. James R. Glass
7. Yu-An Chung
8. Yu Zhang

Citations in the corpus

• Unsupervised Speech Recognition (2021, methodology): “For adversarial learning we use 100 hours of unlabeled audio data from MLS for every language as well as the MLS language modeling Model sw Supervised learning Besacier et al. (2015) 27.36 Unsupervised learning wav2vec-U 52.6 wav2vec-U + ST 32.2 Table 6: WER for Swahili from the ALFFA corpus.”