Abstrakt
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.
Cytowania
-
0
CrossRef
-
0
Web of Science
-
0
Scopus
Autorzy (3)
Cytuj jako
Pełna treść
pełna treść publikacji nie jest dostępna w portalu
Słowa kluczowe
Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
-
International Journal of Electronics and Telecommunications
nr 70,
strony 815 - 821,
ISSN: 2081-8491 - Język:
- angielski
- Rok wydania:
- 2024
- Opis bibliograficzny:
- 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:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.24425/ijet.2024.152065
- Źródła finansowania:
-
- Publikacja bezkosztowa
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 19 razy
Publikacje, które mogą cię zainteresować
A Study of Cross-Linguistic Speech Emotion Recognition Based on 2D Feature Spaces
- G. Tamulevicius,
- G. Korvel,
- A. B. Yayak
- + 3 autorów