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The Efficiency of Interactive Differential Evolution on Creation of ASMR Sounds

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Advances in Swarm Intelligence (ICSI 2021)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12689))

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Abstract

Autonomous Sensory Meridian Response (ASMR) is a popular movie content among Internet users. It is a kind of entertainment content, and the users enjoy positive feelings caused by its binaural sounds in terms of reality. By referring to previous proposals creating ASMR sounds based on Interactive Evolutionary Computations (IECs), this study constructed a system of the Interactive Differential Evolution (IDE) creating ASMR sounds suited to the preference of each user. The purpose of this study is to investigate the efficiency of the IDE, which is one of IEC: its subjective evaluation is based on the user’s paired comparison of the ASMR sounds. A listening experiment was conducted to fundamentally investigate the efficiency of the IDE. The ASMR sounds were composed of six natural sounds. Each of the nine subjects participated in the listening experiment, and they repeatedly compared two ASMR sounds afforded by the IDE system. As a result of the search process, a shrink in the search space was observed in accordance with generations. After the repetitive comparisons, the subjects scored two representatives ASMR sounds picked up from the 0th and the 10th generations respectively. With statistical analysis, a marginal increase in the fitness values was observed.

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Authors and Affiliations

  1. Fukuoka Institute of Technology, Fukuoka, Japan

    Makoto Fukumoto

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  1. Makoto Fukumoto
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Correspondence to Makoto Fukumoto .

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Editors and Affiliations

  1. Peking University, Beijing, China

    Ying Tan

  2. Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

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Fukumoto, M. (2021). The Efficiency of Interactive Differential Evolution on Creation of ASMR Sounds. In: Tan, Y., Shi, Y. (eds) Advances in Swarm Intelligence. ICSI 2021. Lecture Notes in Computer Science(), vol 12689. Springer, Cham. https://doi.org/10.1007/978-3-030-78743-1_33

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  • DOI: https://doi.org/10.1007/978-3-030-78743-1_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78742-4

  • Online ISBN: 978-3-030-78743-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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