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. Alice Baird, Shahin Amiriparian, Miriam Berschnider, Maximilian Schmitt, and Björn Schuller (2019), Predicting Biological Signals from Speech: Introducing a Novel Multimodal Dataset and Results, The Multimodal Signal Processing Conference, Kuala Lumpur, Malaysia, Sept 2019. 5 pages. Version 2.0: This version contains the raw biological signal, and the individual annotations for re-computing the gold-standard. Alice Baird, Shahin Amiriparian, Manuel Milling, Björn Schuller (2020), Emotion Recognition in Public Speaking Scenarios Utilising an LSTM-RNN Approach With Attention, The Speech Language Technology Conference, held virtually (to appear) Jan. 2021. 5 pages.

This work is funded by the Bavarian State Ministry of Education, Science and the Arts in the framework of the Centre Digitisation.Bavaria (ZD.B).