The CMU Wilderness Multilingual Speech Dataset (Black, 2019) is a newly
published multilingual speech dataset based on recorded readings of the New
Testament. It provides data to build Automatic Speech Recognition (ASR) and
Text-to-Speech (TTS) models for potentially 700 languages. However, the fact
that the source content (the Bible) is the same for all the languages is not
exploited to date.Therefore, this article proposes to add multilingual links
between speech segments in different languages, and shares a large and clean
dataset of 8,130 parallel spoken utterances across 8 languages (56 language
pairs). We name this corpus MaSS (Multilingual corpus of Sentence-aligned
Spoken utterances). The covered languages (Basque, English, Finnish, French,
Hungarian, Romanian, Russian and Spanish) allow researches on speech-to-speech
alignment as well as on translation for typologically different language pairs.
The quality of the final corpus is attested by human evaluation performed on a
corpus subset (100 utterances, 8 language pairs). Lastly, we showcase the
usefulness of the final product on a bilingual speech retrieval task.

提出 MaSS 数据集，基于世界各地包含该圣经的语言录制了 8,130 个平行口语表达，通过样本质量的人工评估，证明了该数据集对构建自然语言处理系统（尤其是多语言间的语音转写和翻译任务）的有效性。