196小时乌尔都语语音数据_对话（电话）【数据堂】

乌尔都语语音数据_对话（电话），基于约二十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270名来自不同地域和文化背景的本土人录制，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

Urdu Telephonic Dialogue Speech Dataset, simulated and recorded based on approximately twenty common topics. This dataset is annotated with multiple attributes including text transcripts, sentence-level timestamps, speaker identities, genders, and other relevant information. It was recorded by 270 native speakers from diverse regional and cultural backgrounds, ensuring high annotation accuracy. This dataset offers abundant resources for speech recognition-related research and applications, and has been validated by multiple AI companies to help models achieve excellent performance when confronting real-world diversities. We strictly comply with data protection regulations and privacy rules, safeguarding user privacy and legitimate rights and interests throughout the entire process of data collection, storage, and utilization. All data 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196小时的乌尔都语电话对话语音，由270名巴基斯坦本土人在安静室内录制，覆盖约二十个常见主题。数据标注了文本内容、句时间戳、说话人身份和性别，词准确率达95%，适用于语音识别研究，并已通过多家AI公司验证。