Search
Abstract
This paper focuses on extracting and understanding the acoustical features embedded in the soundscape used in ASMR (Autonomous Sensory Meridian Response) studies. To this aim, a dataset of the most common sound effects employed in ASMR studies is gathered, containing whispering stimuli but also sound effects such as tapping and scratching. Further, a comparative analytical survey is performed based on various acoustical features and two-dimensional representations in the form of mel spectrogram. A special interest is in whispering sounds uttered in different languages. That is why whispering sounds are compared in the language context, and the characteristics of speaking and whispering are investigated within languages. The results of the 2D analyses are shown in the form of similarity measures, such as Normalized Root Mean Squared Error (NRMSE), PSNR (peak signal-to-noise ratio), and SSIM (structural similarity index measure). The summary is produced, showing that the analytical aspect of the inherently experiential nature of ASMR is highly affected by the subjective, personal experience, so the evidence behind triggering certain brain waves cannot be unambiguous.
Citations
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Authors (3)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
International Journal of Electronics and Telecommunications
no. 70,
pages 815 - 821,
ISSN: 2081-8491 - Language:
- English
- Publication year:
- 2024
- Bibliographic description:
- Piernicki T., Seifzadeh S., Kostek B.: Decoding soundscape stimuli and their impact on ASMR studies// International Journal of Electronics and Telecommunications -,iss. 4 (2024), s.815-821
- DOI:
- Digital Object Identifier (open in new tab) 10.24425/ijet.2024.152065
- Sources of funding:
-
- Free publication
- Verified by:
- Gdańsk University of Technology
seen 5 times
Recommended for you
A Study of Cross-Linguistic Speech Emotion Recognition Based on 2D Feature Spaces
- G. Tamulevicius,
- G. Korvel,
- A. B. Yayak
- + 3 authors