HuZhouSpeech: A Huzhou Dialect Speech Recognition Corpus

Yejin Wang, Maonian Wu, Bo Zheng, Shaojun Zhu
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引用次数: 1

Abstract

In this paper, a new open source dialect speech corpus is proposed. It is by far the only open source Goetian dialect corpus, suitable for conducting speech recognition research and building a speech recognition system for Huzhou dialect. This corpus contains about 184 hours of speech and corresponding subtitle transcriptions. In addition, an automated method for building speech recognition corpus is proposed. Only the film and television materials with subtitles are needed to build the speech recognition corpus automatically. Tested on four classical speech recognition frameworks to demonstrate the effectiveness of the corpus for training different speech recognition systems.
湖州语音:湖州方言语音识别语料库
本文提出了一种新的开源方言语料库。它是目前唯一的开源歌德方言语料库,适合进行语音识别研究,构建湖州方言语音识别系统。该语料库包含约184小时的语音和相应的字幕转录。此外,提出了一种自动构建语音识别语料库的方法。自动建立语音识别语料库只需要对白字幕的影视材料。在四种经典语音识别框架上进行了测试,以证明该语料库在训练不同语音识别系统方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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