构建60小时乌兹别克语朗读语音库，提升语音识别准确率
FeruzaSpeech: A 60 Hour Uzbek Read Speech Corpus with Punctuation, Casing, and Context
- 采集单名母语女性主播的60小时高质量朗读录音
- 整合后使多个数据集的词错误率显著降低
- 支持西里尔与拉丁字母双格式，适合语言研究者使用
本文介绍FeruzaSpeech，一个乌兹别克语朗读语音语料库，包含西里尔与拉丁字母双版本转录文本，免费用于学术研究。语料库由乌兹别克斯坦塔什干的一位母语女性主播录制，共60小时，内容来自书籍节选和BBC新闻。实验表明，将FeruzaSpeech融入CommonVoice 16.1的乌兹别克语数据、乌兹别克语语音语料库数据及自身数据后，各数据集的词错误率（WER）均显著下降。
原文摘要 · Abstract (English)
This paper introduces FeruzaSpeech, a read speech corpus of the Uzbek language, containing transcripts in both Cyrillic and Latin alphabets, freely available for academic research purposes. This corpus includes 60 hours of high-quality recordings from a single native female speaker from Tashkent, Uzbekistan. These recordings consist of short excerpts from a book and BBC News. This paper discusses the enhancement of the Word Error Rates (WERs) on CommonVoice 16.1's Uzbek data, Uzbek Speech Corpus data, and FeruzaSpeech data upon integrating FeruzaSpeech.
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