SpecAugment on Large Scale Datasets

11 Dec 2019Daniel S. ParkYu ZhangChung-Cheng ChiuYouzheng ChenBo LiWilliam ChanQuoc V. LeYonghui Wu

Recently, SpecAugment, an augmentation scheme for automatic speech recognition that acts directly on the spectrogram of input utterances, has shown to be highly effective in enhancing the performance of end-to-end networks on public datasets. In this paper, we demonstrate its effectiveness on tasks with large scale datasets by investigating its application to the Google Multidomain Dataset (Narayanan et al., 2018)... (read more)

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