Recent works have shown the capability of deep generative models to tackle general audio
synthesis from a single label, producing a variety of impulsive, tonal, and environmental …

The ICML Expressive Vocalization (ExVo) Competition is focused on understanding and
generating vocal bursts: laughs, gasps, cries, and other non-verbal vocalizations that are …

We present a large-scale in-the-wild Japanese laughter corpus and a laughter synthesis
method. Previous work on laughter synthesis lacks not only data but also proper ways to …

Foley sound, audio content inserted synchronously with videos, plays a critical role in the
user experience of multimedia content. Recently, there has been active research in Foley …

We present a non-supervised approach to optimize and evaluate the synthesis of non-
speech audio effects from a speech production model. We use the Pink Trombone …

We describe our approach for the generative emotional vocal burst task (ExVo Generate) of
the ICML Expressive Vocalizations Competition. We train a conditional StyleGAN2 …

Foley sound synthesis becomes an important task due to the growing popularity of multi-
media content, which is an industrial usecase of general audio synthesis. We propose a …