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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…
eess.AS2024
Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting
Haolin Chen, Philip N. Garner
We are motivated primarily by the adaptation of text-to-speech synthesis models; however we argue that more generic parameter-efficient fine-tuning (PEFT) is an appropriate framewo…