Current methods for learning visually grounded language from videos often rely on text
annotation, such as human generated captions or machine generated automatic speech …

Recent advances in representation learning have demonstrated an ability to represent
information from different modalities such as video, text, and audio in a single high-level …

Discovering word-like units without textual transcriptions is an important step in low-resource
speech technology. In this work, we demonstrate a model inspired by statistical machine …

In the absence of dictionaries, translators, or grammars, it is still possible to learn some of
the words of a new language by listening to spoken descriptions of images. If several …

In contrast to recent advances focusing on highlevel representation learning across
modalities, in this work we present a self-supervised learning framework that is able to learn …

Automatic speech recognition has seen recent advancements powered by machine
learning, but it is still only available for a small fraction of the more than 7,000 languages …