Spoken language identification refers to the task of automatically predi...
Speech representation learning approaches for non-semantic tasks such as...
Data scarcity is a crucial issue for the development of highly multiling...
We introduce the Universal Speech Model (USM), a single large model that...
A common approach for testing fairness issues in text-based classifiers ...
We introduce FLEURS, the Few-shot Learning Evaluation of Universal
Repre...
In this paper we share findings from our effort to build practical machi...
We introduce XTREME-S, a new benchmark to evaluate universal cross-lingu...
Coreference resolution is an important task for natural language
underst...