数据堂—203小时德国德语金融领域实体标注语音数据_口语化

203小时德国德语金融领域实体标注语音数据_口语化，涵盖各种金融类专业名词，主要分为宏观类金融内容及微观类金融内容，反映了真实世界的互动情境。此数据集标注了文本内容、说话人身份性别、常见实体词等多种属性，为各种人工智能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。

203-hour colloquial German financial speech dataset with entity annotations. It covers a wide range of financial terminologies, and is mainly categorized into macro-level financial content and micro-level financial content, reflecting real-world interactive scenarios. This dataset is annotated with multiple attributes including text content, speaker identity and gender, common entity terms and others, providing rich resources for various artificial intelligence applications. Verified by multiple AI companies, it helps models deliver excellent performance when facing the diversity of real-world scenarios. We strictly abide by data protection regulations and privacy rules, ensuring that user privacy and legitimate rights and interests are well protected throughout the data collection, storage and usage processes. All datasets comply with GDPR, CCPA and PIPL.

搜集汇总

背景与挑战

背景概述

该数据集包含203小时的德语金融领域口语化语音数据，覆盖宏观和微观金融术语，并标注了文本内容、说话人信息及实体术语。数据以16kHz、16bit、wav单声道格式采集于安静环境，准确率达98%，适用于AI应用，并遵循数据保护法规如GDPR。