Published: 25 January 2021| Version 1 | DOI: 10.17632/s7chktmb6x.1
Juan Carlos Atenco Vazquez,
Rene Arechiga-Martinez


This datasets gathers simultaneously acquired records of EEG and voice signals for 51 Spanish-speaking Latinos , 25 female, aged between 16 and 61 years old ( mean: 29.7 SD: 10.9) , 5 declared left-handed, 3 declared ambidextrous, the rest right-handed. Video feed is also available for 39 users. Users sat in front of a monitor at a distance of approx. 1 m., wearing an Emotiv Epoc headset. Two different session were recorded for each user. For both of them the sequence of events was established as follows: 1) The volunteer is asked to wait for an acoustic signal indicating the recording session start. 2) After the signal is emitted, the user must stay as still as possible, while relaxing with eyes closed for a period of 10 seconds, until the next acoustic signal. 3) Now, with eyes opened, the user must stay relaxed for a second period of 10 seconds. 4) After this, another signal is emitted and a series of non-sequential whole numbers between 0 and 9 is presented on the screen. The user has to pronounce the displayed number. The difference between sessions lies on the length of the numbers series. For the first session, ten digits are presented, whilst for the second one, four digits per chain are presented. 5) After a series is completed, the user is granted a relaxation period of 5 seconds to breath and swallow. 6) The next series is presented 7) steps 4 to 6 are repeated until 10 sequences are completed. Each compressed file in this dataset includes the records for each of the volunteers, organized in three sub-folders: EEG, Video and Voice. EEG folder includes the EDF and CSV for the recorded sessions. For users for which video records are available, the Video folder includes an MP4 file for each of the series, as well as a .MAT file with the time stamps for the events in the file. Voice folders include .WAV files for each digits-series and their respective .LAB files. More extensive information and further details can be obtained by contacting the corresponding author.



Instituto Nacional de Astrofisica Optica y Electronica


Biometrics, Speaker Recognition, Facial Recognition, Electroencephalography, Multimodality