The following paper presents a project focused on the research and creation
of a new Automatic Speech Recognition (ASR) based in the Chukchi language.
There is no one complete corpus of the Chukchi language, so most of the work
consisted in collecting audio and texts in the Chukchi language from open
sources and processing them. We managed to collect 21:34:23 hours of audio
recordings and 112,719 sentences (or 2,068,273 words) of text in the Chukchi
language. The XLSR model was trained on the obtained data, which showed good
results even with a small amount of data. Besides the fact that the Chukchi
language is a low-resource language, it is also polysynthetic, which
significantly complicates any automatic processing. Thus, the usual WER metric
for evaluating ASR becomes less indicative for a polysynthetic language.
However, the CER metric showed good results. The question of metrics for
polysynthetic languages remains open.

本文介绍了一个自动语音识别 (ASR) 项目，旨在研究和创建基于楚科奇语的新 ASR 系统。该语言是一种低资源语言，也是一种多合成语，其对于任何自动处理都具有很大的复杂性。通过收集音频和文本数据，我们成功地训练了 XLSR 模型，并使用 CER 度量标准获得了良好的结果。