AISHELL-1 希尔贝壳中文普通话开源语音数据库AISHELL-ASR0009-OS1录音时长178小时，是希尔贝壳中文普通话语音数据库AISHELL-ASR0009的一部分。AISHELL-ASR0009录音文本涉及智能家居、无人驾驶、工业生产等11个领域。录制过程在安静室内环境中， 同时使用3种不同设备： 高保真麦克风（44.1kHz，16-bit）；Android系统手机（16kHz，16-bit）；iOS系统手机（16kHz，16-bit）。高保真麦克风录制的音频降采样为16kHz，用于制作AISHELL-ASR0009-OS1。400名来自中国不同口音区域的发言人参与录制。经过专业语音校对人员转写标注，并通过严格质量检验，此数据库文本正确率在95%以上。分为训练集、开发集、测试集。

This Open Source Mandarin Speech Corpus, AISHELL-ASR0009-OS1, is 178 hours long. It is a part of AISHELL-ASR0009, of which utterance contains 11 domains, including smart home, autonomous driving, and industrial production. The whole recording was put in quiet indoor environment, using 3 different devices at the same time: high fidelity microphone (44.1kHz, 16-bit,); Android-system mobile phone (16kHz, 16-bit), iOS-system mobile phone (16kHz, 16-bit). Audios in high fidelity were re-sampled to 16kHz to build AISHELL- ASR0009-OS1. 400 speakers from different accent areas in China were invited to participate in the recording. The manual transcription accuracy rate is above 95%, through professional speech annotation and strict quality inspection. The corpus is divided into training, development and testing sets.

You can cite the data using the following BibTeX entry:

@inproceedings{aishell_2017,

title={AIShell-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline},

author={Hui Bu, Jiayu Du, Xingyu Na, Bengu Wu, Hao Zheng},

booktitle={Oriental COCOSDA 2017},

pages={Submitted},

year={2017}

url={https://arxiv.org/abs/1709.05522}

}

External URL: http://www.aishelltech.com/kysjcp Full description from the company website

GitHub URL ： https://github.com/kaldi-asr/kaldi/tree/master/egs/aishell