1 citations · 1 across the 6 of their papers we have counts for
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Analytic Study of Text-Free Speech Synthesis for Raw Audio using a Self-Supervised Learning Model
Joonyong Park, Daisuke Saito, Nobuaki Minematsu
We examine the text-free speech representations of raw audio obtained from a self-supervised learning (SSL) model by analyzing the synthesized speech using the SSL representations…
Do learned speech symbols follow Zipf's law?
Shinnosuke Takamichi, Hiroki Maeda, Joonyong Park +2
In this study, we investigate whether speech symbols, learned through deep learning, follow Zipf's law, akin to natural language symbols. Zipf's law is an empirical law that deline…
How Generative Spoken Language Modeling Encodes Noisy Speech: Investigation from Phonetics to Syntactics
Joonyong Park, Shinnosuke Takamichi, Tomohiko Nakamura +3
We examine the speech modeling potential of generative spoken language modeling (GSLM), which involves using learned symbols derived from data rather than phonemes for speech analy…