AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline

作者：Hui Bu, Jiayu Du, Xingyu Na, Bengu Wu, Hao Zheng · 发表于：arXiv (Cornell University) · 年份：2017 · DOI：10.48550/arxiv.1709.05522 · 被引用次数：50 · 研究领域：Speech Recognition and Synthesis、Music and Audio Processing、Speech and Audio Processing

An open-source Mandarin speech corpus called AISHELL-1 is released. It is by far the largest corpus which is suitable for conducting the speech recognition research and building speech recognition systems for Mandarin. The recording procedure, including audio capturing devices and environments are presented in details. The preparation of the related resources, including transcriptions and lexicon are described. The corpus is released with a Kaldi recipe. Experimental results implies that the quality of audio recordings and transcriptions are promising.