Search Results for author: Lucas Maison

Found 3 papers, 1 papers with code

Compression of Recurrent Neural Networks using Matrix Factorization

1 code implementation19 Oct 2023 Lucas Maison, Hélion du Mas des Bourboux, Thomas Courtat

Compressing neural networks is a key step when deploying models for real-time or embedded applications.

Some voices are too common: Building fair speech recognition systems using the Common Voice dataset

no code implementations1 Jun 2023 Lucas Maison, Yannick Estève

Automatic speech recognition (ASR) systems become increasingly efficient thanks to new advances in neural network training like self-supervised learning.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Improving Accented Speech Recognition with Multi-Domain Training

no code implementations14 Mar 2023 Lucas Maison, Yannick Estève

Thanks to the rise of self-supervised learning, automatic speech recognition (ASR) systems now achieve near-human performance on a wide variety of datasets.

Accented Speech Recognition Automatic Speech Recognition +3

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