We present SDS-200, a corpus of Swiss German dialectal speech with Standard
German text translations, annotated with dialect, age, and gender information
of the speakers. The dataset allows for training speech translation, dialect
recognition, and speech synthesis systems, among others. The data was collected
using a web recording tool that is open to the public. Each participant was
given a text in Standard German and asked to translate it to their Swiss German
dialect before recording it. To increase the corpus quality, recordings were
validated by other participants. The data consists of 200 hours of speech by
around 4000 different speakers and covers a large part of the Swiss-German
dialect landscape. We release SDS-200 alongside a baseline speech translation
model, which achieves a word error rate (WER) of 30.3 and a BLEU score of 53.1
on the SDS-200 test set. Furthermore, we use SDS-200 to fine-tune a pre-trained
XLS-R model, achieving 21.6 WER and 64.0 BLEU.

SDS-200 是一份包含瑞士德语方言语音的语料库，其中标注了方言、年龄和性别等信息，可以用于训练语音翻译、方言识别和语音合成系统等。该数据集包含约 4000 名不同说话者的 200 小时的语音，并覆盖了瑞士德语方言的大部分领域。我们同时发布了 SDS-200 基线语音翻译模型和使用 SDS-200 微调预训练的 XLS-R 模型，最终达到了 21.6 WER 和 64.0 BLEU。