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by GoogleAI on 2019-04-22 (UTC).

Automatic Speech Recognition (ASR) struggles in the absence of an extensive volume of training data. We present SpecAugment, a new approach to augmenting audio data that treats it as a visual problem rather than an audio one. Learn more at → https://t.co/zeFIPFQsp1 pic.twitter.com/8t79Uc7uMU

— Google AI (@GoogleAI) April 22, 2019
researchtool
by deliprao on 2019-04-22 (UTC).

SpecAugment is fascinating new data augmentation approach from @GoogleAI for ASR. I tried messing around with spectrograms for data augmentation before but kudos to google folks for actually making it work!https://t.co/OhPTcenpIK pic.twitter.com/DRn2tcYTSx

— Delip Rao (@deliprao) April 22, 2019
toolresearch
by JeffDean on 2019-04-22 (UTC).

Exciting new work by Park, Chan, et al. to improve ASR models with data augmentation.

"Instead of augmenting the input audio waveform as is traditionally done, SpecAugment applies an augmentation policy directly to the audio spectrogram." https://t.co/Pluccv89RR

— Jeff Dean (@JeffDean) April 22, 2019
toolresearch

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