  We formulated non-speech vocalization (NSV) modeling as a text-to-speech task
and verified its viability. Specifically, we evaluated the phonetic
expressivity of HUBERT speech units on NSVs and verified our model's ability to
control over speaker timbre even though the training data is speaker few-shot.
In addition, we substantiated that the heterogeneity in recording conditions is
the major obstacle for NSV modeling. Finally, we discussed five improvements
over our method for future research. Audio samples of synthesized NSVs are
available on our demo page: https://resemble-ai.github.io/reLaugh.
