flwrlabs/ambient-acoustic-context

Ambient Acoustic Context数据集包含1秒的音频片段，这些片段与工作场所中的活动相关。每个片段都与一个speaker_id相关联。数据集通过Amazon Mechanical Turk进行标注，确保标注质量。数据集的结构包括音频、speaker_id、标签、开始时间和ID等特征。数据集主要用于音频分类任务，并推荐使用Flower框架进行联邦学习实验。

The Ambient Acoustic Context dataset contains 1-second segments for activities that occur in a workplace setting. Each segment is associated with a speaker_id. The dataset was created using Amazin Mechanical Turk, where crowd workers listened to 1-second segments and chose the right label. To ensure the quality of the annotations, audio segments that did not reach majority agreement among the turkers were excluded. The dataset includes features such as audio, speaker_id, label, start time, and id. The labels include various sound types such as applause, breathing, chatter, etc. The dataset is divided into a training set, containing 70254 samples.