Projects per year
The popularity of Autonomous Sensory Meridian Response (ASMR) has sky-rockted over the past decade, but scientific studies on what exactly triggered ASMR effect remain few and immature, one most commonly acknowledged trigger is that ASMR clips typically provide rich semantic information. With our attention caught by the common acoustic patterns in ASMR audios, we investigate the correlation between the cyclic features of audio signals and their effectiveness in triggering ASMR effects. A cyber-psychological approach that combines signal processing, artificial intelligence, and experimental psychology is taken, with which we are able to quantize ASMR-related acoustic features, and therewith synthesize ASMR clips with random cyclic patterns but not delivering identifiably scenarios to the audience, which were proven to be effective in triggering ASMR effects.
|Title of host publication||2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)|
|Editors||Danilo COMMINIELLO, Michele SCARPINITI|
|Number of pages||6|
|Publication status||Published - 23 Oct 2023|
|Event||2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) - Rome, Italy, Rome, Italy|
Duration: 17 Sept 2023 → 20 Sept 2023
|Conference||2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)|
|Period||17/09/23 → 20/09/23|
Bibliographical notePublisher Copyright:
© 2023 IEEE.
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- 1 Finished
CAO, C. C., HUANG, L. & Sullivan, D.
1/07/21 → 30/06/23
Project: Grant Research