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Javier Fernández-Marqués

2 accepted papers

2022

End-to-End Speech Recognition from Federated Acoustic Models

ICASSP 2022accepted

Training Automatic Speech Recognition (ASR) models under federated learning (FL) settings has attracted a lot of attention recently. However, the FL scenarios often presented in the literature are artificial and fail to capture the complexity of real FL systems. In this paper, we construct a challen…

Cited by 0SourceScholar
2019

An Empirical study of Binary Neural Networks' Optimisation

ICLR 2019poster

Binary neural networks using the Straight-Through-Estimator (STE) have been shown to achieve state-of-the-art results, but their training process is not well-founded. This is due to the discrepancy between the evaluated function in the forward path, and the weight updates in the back-propagation, up…