5 citations · 8 across the 13 of their papers we have counts for
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cs.CL2023
Improving Joint Speech-Text Representations Without Alignment
Cal Peyser, Zhong Meng, Ke Hu +5
The last year has seen astonishing progress in text-prompted image generation premised on the idea of a cross-modal representation space in which the text and image domains are rep…
cs.CL2023
A Comparison of Semi-Supervised Learning Techniques for Streaming ASR at Scale
Cal Peyser, Michael Picheny, Kyunghyun Cho +3
Unpaired text and audio injection have emerged as dominant methods for improving ASR performance in the absence of a large labeled corpus. However, little guidance exists on deploy…
cs.CL2023
Dual Learning for Large Vocabulary On-Device ASR
Cal Peyser, Ronny Huang, Tara Sainath +3
Dual learning is a paradigm for semi-supervised machine learning that seeks to leverage unsupervised data by solving two opposite tasks at once. In this scheme, each model is used…