数据堂—797小时印地语语音数据_对话（手机）

印地语语音数据_对话（手机），基于约三十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1022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

Hindi Dialogue Speech Dataset (Recorded via Mobile Devices) was simulated and recorded based on approximately thirty common topics. This dataset is annotated with multiple attributes including text transcripts, sentence-level timestamps, speaker identity, gender and other relevant information. It was recorded by 1022 native Indian speakers from diverse regional and cultural backgrounds, with high annotation accuracy. The dataset provides abundant resources for research and applications related to speech recognition, and has been validated by multiple AI companies to effectively help models achieve excellent performance when confronting real-world diversity. We strictly comply with data protection regulations and privacy rules, ensuring that user privacy and legitimate rights and interests are fully protected during the entire processes of data collection, storage and utilization. All datasets adhere to the requirements of GDPR, CCPA and PIPL.

搜集汇总

背景与挑战

背景概述

该数据集包含797小时的印地语对话语音，专为语音识别研究和应用测试设计。数据由1022名印度母语者使用手机在安静室内录制，覆盖约30个常见话题，并提供转录文本、时间戳及说话人性别等标注信息。