BioS-DB: a multimodal public speaking database, including emotional annotation

The BioS-DB (BioSpeech Database), is a database of indivduals speaking infront of others in both German and English. BioS-DB includes 55 indivdual (33 male and 22 female), with a mean age of 28.9 years ( ± 10.5 years). Individuals were predominately German Natives (33) - and either students (30) or staff from the computer science department at the University of Augsburg, Germany. The average speech length was 45 s for German and 42 s for English. During the speech, individuals were being evaluated for their emotion (valence / arousal) in a time-continuous way. Individuals were also attached to Blood Volume Pulse, and Skin Conductance sensors, while audio was captured from a lapel microphone and additionally a room microphone. Further information is given in: Alice Baird, Shahin Amiriparian, Miriam Berschnider, Maximilian Schmitt, and Björn Schuller (2019),<em> Predicting Biological Signals from Speech: Introducing a Novel Multimodal Dataset and Results</em>, The Multimodal Signal Processing Conference, Kuala Lumpur, Malaysia, Sept 2019. 5 pages.BioS-DB（BioSpeech Database，生物语音数据库）是一类涵盖德语与英语当众发言场景的多模态语音数据库。该数据库共收录55名受试者（其中男性33名、女性22名），平均年龄为28.9岁（标准差±10.5岁）。受试者以德国本土人群为主（共33名），职业背景主要为德国奥格斯堡大学计算机科学系的学生（30名）与教职工。德语语音的平均时长为45秒，英语语音的平均时长为42秒。语音录制期间，研究人员以时间连续的方式对受试者的情绪（效价（valence）/唤醒度（arousal））进行评估；受试者同时佩戴了血容量脉冲（Blood Volume Pulse）传感器与皮肤电导率（Skin Conductance）传感器，语音信号分别通过领夹式麦克风与室内麦克风采集。更多详细信息可参阅以下文献：Alice Baird、Shahin Amiriparian、Miriam Berschnider、Maximilian Schmitt 与 Björn Schuller（2019），《从语音预测生理信号：新型多模态数据集的提出与实验结果》，2019年9月于马来西亚吉隆坡举办的多模态信号处理会议（The Multimodal Signal Processing Conference），共5页。