AUTHOR=Song Meishu , Yang Zijiang , Parada-Cabaleiro Emilia , Jing Xin , Yamamoto Yoshiharu , Schuller Björn 

TITLE=Identifying languages in a novel dataset: ASMR-whispered speech

JOURNAL=Frontiers in Neuroscience

VOLUME=Volume 17 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2023.1120311

DOI=10.3389/fnins.2023.1120311

ISSN=1662-453X

ABSTRACT=The Autonomous Sensory Meridian Response (ASMR) is a
combination of sensory phenomena involving electrostatic-
like tingling sensations, which emerge in response to certain
stimuli. Despite the overwhelming popularity of ASMR in the
social media, no open source databases on ASMR related stim-
uli are yet available, which makes this phenomenon mostly
inaccessible to the research community; thus, almost com-
pletely unexplored. In this regard, we present the ASMR-
Whispered-Speech (ASMR-WS) database, a novel database
on whispered speech, specifically tailored to promote the de-
velopment of ASMR-like unvoiced Language Identification
(unvoiced-LID) systems. The ASMR-WS database encom-
passes 38 videos—for a total duration of 10 hours and 36
minutes—and includes seven target languages (Chinese, En-
glish, French, Italian, Japanese, Korean, and Spanish).