We present an open-source speech corpus for the Kazakh language. The Kazakh speech corpus (KSC) contains around 335 hours of transcribed audio comprising over 154,000 utterances spoken by participants from different regions, age groups, and gender. It was carefully inspected by native Kazakh speakers to ensure high quality. The KSC is the largest publicly available database developed to advance various Kazakh speech and language processing applications. In this paper, we first describe the data collection and prepossessing procedures followed by the description of the database specifications. We also share our experience and challenges faced during database construction. To demonstrate the reliability of the database, we performed the preliminary speech recognition experiments. The experimental results imply that the quality of audio and transcripts are promising. To enable experiment reproducibility and ease the corpus usage, we also released the ESPnet recipe.

中文翻译：

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众包开源哈萨克语语料库和初始语音识别基线

我们为哈萨克语提供了一个开源语音语料库。哈萨克语语料库 (KSC) 包含大约 335 小时的转录音频，包括来自不同地区、年龄组和性别的参与者所说的超过 154,000 条话语。它由哈萨克母语人士仔细检查，以确保高质量。KSC 是最大的公开可用数据库，旨在推进各种哈萨克语语音和语言处理应用程序。在本文中，我们首先描述了数据收集和预置过程，然后是数据库规范的描述。我们还分享了我们在数据库建设过程中所面临的经验和挑战。为了证明数据库的可靠性，我们进行了初步的语音识别实验。实验结果表明音频和转录的质量是有希望的。为了实现实验可重复性并简化语料库的使用，我们还发布了 ESPnet 配方。