2 papers
cs.CL2024
A Simple HMM with Self-Supervised Representations for Phone Segmentation
Gene-Ping Yang, Hao Tang
Despite the recent advance in self-supervised representations, unsupervised phonetic segmentation remains challenging. Most approaches focus on improving phonetic representations w…
cs.CL2023
Towards Matching Phones and Speech Representations
Gene-Ping Yang, Hao Tang
Learning phone types from phone instances has been a long-standing problem, while still being open. In this work, we revisit this problem in the context of self-supervised learning…