SoundNet: Learning Sound Representations from Unlabeled Video

NeurIPS 2016 Yusuf AytarCarl VondrickAntonio Torralba

We learn rich natural sound representations by capitalizing on large amounts of unlabeled sound data collected in the wild. We leverage the natural synchronization between vision and sound to learn an acoustic representation using two-million unlabeled videos... (read more)

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