2 papers
eess.AS2024
An investigation of modularity for noise robustness in conformer-based ASR
Louise Coppieters de Gibson, Philip N. Garner, Pierre-Edouard Honnet
Whilst state of the art automatic speech recognition (ASR) can perform well, it still degrades when exposed to acoustic environments that differ from those used when training the m…
q-bio.NC2022
Low-Level Physiological Implications of End-to-End Learning of Speech Recognition
Louise Coppieters de Gibson, Philip N. Garner
Current speech recognition architectures perform very well from the point of view of machine learning, hence user interaction. This suggests that they are emulating the human biolo…