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End-to-end acoustic modelling for phone recognition of young readers
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.
Reconnaissance de phones fond\'ee sur du Transfer Learning pour des enfants apprenants lecteurs en environnement de classe (Transfer Learning based phone recognition on children learning to read, with speech recorded in a classroom environment)
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.
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