数据堂—760小时印地语语音数据_对话（电话）

印地语语音数据_对话（电话），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1004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, PIPLHindi Telephone Dialogue Speech Dataset, simulated and recorded based on approximately thirty common topics. This dataset is annotated with multiple attributes including text transcriptions, sentence-level timestamps, speaker identities, genders and more. It was recorded by 1,004 native Indian speakers from diverse regional and cultural backgrounds, with high annotation accuracy. It provides abundant resources for speech recognition-related research and applications, and has been validated by multiple AI companies that it helps models perform excellently when facing real-world diversities. 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 process of data collection, storage and utilization. All datasets comply with 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760小时的印地语电话对话语音数据，由1004名印度母语者基于30个常见话题录制，并标注了文本转录、时间戳和说话人信息。它专为语音识别研究设计，准确率达95%，遵循严格的数据隐私法规。