no code implementations • 4 Mar 2021 • Lucile Gelin, Morgane Daniel, Julien Pinquier, Thomas Pellegrini
Through transfer learning, a Transformer model complemented with a Connectionist Temporal Classification (CTC) objective function, reaches a phone error rate of 28. 1%, outperforming a state-of-the-art DNN-HMM model by 6. 6% relative, as well as other end-to-end architectures by more than 8. 5% relative.
no code implementations • JEPTALNRECITAL 2020 • Lucile Gelin, Morgane Daniel, Thomas Pellegrini, Julien Pinquier
A conditions {\'e}gales, les performances actuelles de la reconnaissance vocale pour enfants sont inf{\'e}rieures {\`a} celles des syst{\`e}mes pour adultes.