We present the Multilingual TEDx corpus, built to support speech recognition
(ASR) and speech translation (ST) research across many non-English source
languages. The corpus is a collection of audio recordings from TEDx talks in 8
source languages. We segment transcripts into sentences and align them to the
source-language audio and target-language translations. The corpus is released
along with open-sourced code enabling extension to new talks and languages as
they become available. Our corpus creation methodology can be applied to more
languages than previous work, and creates multi-way parallel evaluation sets.
We provide baselines in multiple ASR and ST settings, including multilingual
models to improve translation performance for low-resource language pairs.

我们提供了一个多语言 TEDx 语料库，支持语音识别和语音翻译的研究，可以建立在许多非英语源语言上。这个语料库是一个来自 TEDx 演讲的音频记录集合，提供了 8 个源语言，我们将转录分割成句子，并将它们与源语言音频和目标语言翻译对齐。此外，我们提供基线模型，包括多语种模型，以提高低资源语种的翻译性能。