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Autor:
Balam, Jagadeesh, Huang, Jocelyn, Lavrukhin, Vitaly, Deng, Slyne, Majumdar, Somshubra, Ginsburg, Boris
We present our experiments in training robust to noise an end-to-end automatic speech recognition (ASR) model using intensive data augmentation. We explore the efficacy of fine-tuning a pre-trained model to improve noise robustness, and we find it to
Externí odkaz:
http://arxiv.org/abs/2010.12715