The paper combines machine speech chain text-to-speech replay with gradient episodic memory to let an ASR model learn a noisy speech task without forgetting clean speech, reporting a 40% average CER reduction over fine-tuning on LJ Speech.
ASR engages in con- tinual learning for new tasks using replayed inputs from the base task, synthesized by TTS
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Continual Learning in Machine Speech Chain Using Gradient Episodic Memory
The paper combines machine speech chain text-to-speech replay with gradient episodic memory to let an ASR model learn a noisy speech task without forgetting clean speech, reporting a 40% average CER reduction over fine-tuning on LJ Speech.