300小时印度英语自然对话手机采集语音数据

印度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390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。Mobile-collected natural conversational speech data in Indian English, which was simulated and recorded based on over 30 common topics. This dataset is annotated with multiple attributes including transcript text, sentence-level timestamps, speaker identity, gender and others. It was recorded by 390 native Indian speakers from diverse regional and cultural backgrounds, boasts high accuracy, and provides abundant resources for speech recognition-related research and applications. Verified by multiple AI companies, this dataset helps models deliver excellent performance when confronted with the diversity of real-world scenarios. We strictly comply with data protection regulations and privacy rules to ensure user privacy and legitimate rights and interests are protected throughout the entire process of data collection, storage and utilization, and all data adheres to GDPR, CCPA and PIPL.

搜集汇总

背景与挑战

背景概述

该数据集包含300小时印度英语自然对话语音，通过手机采集，基于30多个常见主题模拟录制，由390名不同背景的印度本土人参与。数据标注了文本、时间戳、说话人身份及性别等属性，适用于语音识别研究，并已通过多家AI公司验证。采集过程严格遵循GDPR、CCPA和PIPL等数据保护法规。