Accent160

Accent160是由西北工业大学音频、语音与语言处理组和上海交通大学语音实验室联合创建的英语口音识别数据集，包含来自8个国家的160小时带标签的英语口音语音数据。该数据集用于英语口音识别和带口音的英语语音识别研究，旨在解决自动语音识别系统在不同口音下的鲁棒性问题。数据集通过智能手机在相对安静的室内环境中录制，涵盖了多种日常对话和人与计算机语音交互命令。

Accent160 is an English accent recognition dataset jointly created by the Audio, Speech and Language Processing Group of Northwestern Polytechnical University and the Speech Laboratory of Shanghai Jiao Tong University. It contains 160 hours of labeled English accented speech data from 8 countries. This dataset is used for research on English accent recognition and accented English speech recognition, aiming to address the robustness issue of automatic speech recognition (ASR) systems across different accents. The dataset was recorded using smartphones in relatively quiet indoor environments, covering various daily conversations and human-computer voice interaction commands.