数据堂—254小时天津话自然对话手机采集语音数据

天津话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330名来自天津地区的母语使用者录制，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。

This is a mobile-collected spoken dialogue dataset of Tianjin dialect, simulated and recorded based on over 30 common topics. The dataset is annotated with multiple attributes including text content, sentence-level timestamps, speaker identity, gender and others. Recorded by 330 native speakers from Tianjin, it boasts high annotation accuracy and provides abundant resources for speech recognition-related research and applications. Verified by multiple AI enterprises, this dataset helps models perform excellently when facing real-world diversity. We strictly comply with data protection regulations and privacy rules, ensuring that user privacy and legitimate rights and interests are protected throughout the entire process of data collection, storage and utilization. All datasets adhere to GDPR, CCPA and PIPL.

搜集汇总

背景与挑战

背景概述

该数据集包含254小时的天津话自然对话录音，由330名本地说话人围绕30多个日常话题在安静室内环境中使用手机录制。数据采用16kHz WAV格式，已标注文本、时间戳和说话人信息，句子准确率为95%，适用于语音识别研究与应用。