339小时澳大利亚英语自然对话手机采集语音数据

澳大利亚英语自然对话手机采集语音数据，基于30余个常见主题来模拟录制。此数据集标注了文本内容、句时间戳、说话人身份、性别等多种属性，由418名来自不同地域和文化背景的印度本土人录制，准确性高，为语音识别相关研究及应用提供了丰富的资源，经多家AI公司验证：有助于模型面对真实世界的多样性时能够表现出色。我们严格遵循数据保护法规和隐私规定，确保数据采集、存储和使用的过程中维护用户的隐私和合法权益，所有数据均遵循GDPR, CCPA, PIPL。This is a mobile-collected natural conversational speech dataset in Australian English, recorded by simulating natural conversation scenarios around over 30 common topics. This dataset is annotated with multiple attributes including text transcripts, sentence-level timestamps, speaker identity, gender and others. It was recorded by 418 native Indian speakers with diverse regional and cultural backgrounds, featuring high annotation accuracy, and provides abundant resources for research and applications related to speech recognition. Verified by multiple AI companies, this dataset enables models to deliver robust performance when coping with the diversity of real-world scenarios. We strictly abide by data protection laws and privacy regulations to safeguard users' privacy and legitimate rights and interests throughout the entire process of data collection, storage and utilization. All data in this dataset complies with GDPR, CCPA and PIPL.

搜集汇总

背景与挑战

背景概述

该数据集包含339小时澳大利亚英语自然对话语音，通过手机采集并基于30余个常见主题模拟录制。数据标注了文本内容、句时间戳、说话人身份和性别等多种属性，由418名印度本土人录制，适用于语音识别研究与应用，且遵循严格的数据保护法规。