Researcher profile
Steffen Schneider
2 papers in the PaperMetrix corpus
Publications
Papers by this author
-
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
2019 · ArXiv.org
We propose vq-wav2vec to learn discrete representations of audio segments through a wav2vec-style self-supervised context prediction task. The algorithm uses either a gumbel softmax or online k-means clustering to quantize the dense representations. Discretization enables …
-
vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations
2020 · arXiv (Cornell University)
We propose vq-wav2vec to learn discrete representations of audio segments through a wav2vec-style self-supervised context prediction task. The algorithm uses either a gumbel softmax or online k-means clustering to quantize the dense representations. Discretization enables …