针对现实的语音数据的定向房间冲动反应数据集
Stefan Fragner1, Lukas Pfeifenberger1, Martin Hagmüller1
1Signal Processing and Speech Communication Laboratory, Graz University of Technology, Austria.
Data in brief
|March 6, 2024
概括
对于移动的演讲者来说,生成现实的多通道语音录音是具有挑战性的. 这个数据集提供了来自真实房间的定向房间冲动响应 (RIR),以实现对反响环境的准确模拟.
科学领域:
- 声学 声学 在声学方面
- 信号处理 信号处理
- 机器学习 机器学习
背景情况:
- 获取现实世界的多道语音数据是昂贵的,劳动密集型的.
- 现有的方法通常使用来自简单的"鞋盒"房间的模拟房间冲动响应 (RIR),限制移动扬声器的现实性.
- 像智能助理这样的应用程序的远场语音处理需要在回声条件下处理移动扬声器.
研究的目的:
- 创建在真实环境 (教室,走廊) 中记录的定向RIR数据集.
- 为了促进对移动扬声器的现实的多通道语音数据的生成.
- 支持用于家庭自动化和智能助理的远程语音处理研究.
主要方法:
- 在教室和大走廊内的微型网格上记录了多个位置的定向RIR.
- 开发了一种方法,通过在RIR网格上生成随机轨迹来模拟移动的扬声器.
- 利用重叠加方法将单声语音与RIR结合起来,用于空间化的音频生成.
主要成果:
- 来自现实世界声学空间的定向RIR的综合数据集.
- 一个经过验证的方法来模拟在反响环境中的移动扬声器.
- 通过示例应用来证明数据集和方法的实用性.
结论:
- 提供的数据集显著提高了模拟的多通道语音数据的现实性.
- 为动态环境提供更强大的远程语音处理系统的开发和测试.
- 解决了在语音技术研究和开发中对现实的数据的关键需求.
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