2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2023
Unsupervised Speech Recognition with N-Skipgram and Positional Unigram Matching
Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo
Training unsupervised speech recognition systems presents challenges due to GAN-associated instability, misalignment between speech and text, and significant memory demands. To tac…
cs.CV2023★ 2 cited
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport
Long Tian, Jingyi Feng, Wenchao Chen +4
Transductive Few-Shot Learning (TFSL) has recently attracted increasing attention since it typically outperforms its inductive peer by leveraging statistics of query samples. Howev…
eess.AS2023
A Theory of Unsupervised Speech Recognition
Liming Wang, Mark Hasegawa-Johnson, Chang D. Yoo
Unsupervised speech recognition (ASR-U) is the problem of learning automatic speech recognition (ASR) systems from unpaired speech-only and text-only corpora. While various algorit…