数据堂—196小时乌尔都语语音数据_对话（电话）

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 Speech Data - Conversational (Telephonic), simulated and recorded based on approximately twenty common topics. This dataset is annotated with multiple attributes including text transcripts, sentence-level timestamps, speaker identity, gender, etc. Recorded by 270 native speakers from diverse regional and cultural backgrounds with high accuracy, it provides abundant resources for research and applications related to speech recognition. Verified by multiple AI companies, it helps models deliver outstanding performance when confronting real-world diversity. We strictly abide by 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 usage. All collected 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，专用于语音识别研究与应用测试。数据由270名巴基斯坦母语者基于20个常见话题录制，标注了文本内容、时间戳、说话人身份和性别，词准确率为95%，格式为8kHz单声道。