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Audio Information Hiding Based on Cochlear Delay Characteristics with Optimized Segment Selection

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Book cover Security with Intelligent Computing and Big-Data Services 2019 (SICBS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1145))

Abstract

Audio information hiding (AIH) based on cochlear delay (CD) characteristics is a promising technique to deal with the trade-off between inaudibility and robustness requirements effectively. However, the use of phase-shift keying (PSK) for blindly detectable AIH based on CD characteristics caused abrupt phase changing (phase spread spectrum), which leads to bad inaudibility. This paper proposed the technique to reduce the spread spectrum from PSK by segment selection process with spline interpolation optimization. Objective evaluation to measure the detection accuracy (BDR) and inaudibility (PEAQ and LSD) was carried out with 102 various genre music clips dataset. Based on the evaluation result, our proposed method could successfully reduce the spread spectrum caused by PSK by having improvement on inaudibility test with adequate detection accuracy up to 1024 bps.

This work was supported by a Grant-in-Aid for Scientific Research (B) (No. 17H01761) and I-O DATA foundation.

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Authors and Affiliations

  1. Graduate School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa, 923–1292, Japan

    Candy Olivia Mawalim & Masashi Unoki

Authors
  1. Candy Olivia Mawalim
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  2. Masashi Unoki
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Corresponding author

Correspondence to Candy Olivia Mawalim .

Editor information

Editors and Affiliations

  1. University of Technology Sydney, Broadway, NSW, Australia

    Lakhmi C. Jain

  2. CSIE Department, National Dong Hwa University, Hualien City, Taiwan

    Sheng-Lung Peng

  3. Central Police University, Taoyuan City, Taiwan

    Shiuh-Jeng Wang

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Mawalim, C.O., Unoki, M. (2020). Audio Information Hiding Based on Cochlear Delay Characteristics with Optimized Segment Selection. In: Jain, L., Peng, SL., Wang, SJ. (eds) Security with Intelligent Computing and Big-Data Services 2019. SICBS 2019. Advances in Intelligent Systems and Computing, vol 1145. Springer, Cham. https://doi.org/10.1007/978-3-030-46828-6_12

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