Language Discrimination Improves Linguistic Learning in Multilingual Speech Models

Researchers at Apple have found that enhancing the ability of multilingual speech models to distinguish between languages during pretraining significantly improves their performance. While these models have historically lagged behind monolingual versions when using the same amount of data, this approach helps bridge that gap by better utilizing information shared across different languages.