| 研究課題/領域番号 |
20J20580
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| 研究種目 |
特別研究員奨励費
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| 配分区分 | 補助金 |
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| 応募区分 | 国内 |
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| 審査区分 |
小区分61010:知覚情報処理関連
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| 研究機関 | 北陸先端科学技術大学院大学 |
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研究代表者 |
MAWALIM CANDY OLIVIA 北陸先端科学技術大学院大学, 先端科学技術研究科, 特別研究員(DC1)
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| 研究期間 (年度) |
2020-04-24 – 2023-03-31
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| 研究課題ステータス |
交付 (2021年度)
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| 配分額 *注記 |
2,500千円 (直接経費: 2,500千円)
2021年度: 800千円 (直接経費: 800千円)
2020年度: 900千円 (直接経費: 900千円)
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| キーワード | information hiding / voice privacy / speaker anonymization / watermarking / authentication / speech coding |
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| 研究開始時の研究の概要 |
To achieve research goal, the following major steps will be conducted:
First step is to design embedding system for audio information hiding with consideration of psychoacoustics and phase modulation concepts. Second step is to determine the way for detecting the embedded information. At this step also, the medium of audio information hiding will be considered such as VoIP or mobile communication. Lastly, the thorough evaluation will be conducted so that the proposed system satisfies all the requirements and can be applied in speech communication (e.g. as tampering or spoofing detection).
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| 研究実績の概要 |
The major milestone in FY2021 is developing a framework to improve the security of speaker anonymization. Speaker anonymization aims to address the voice privacy issue by suppressing the original speaker's personally identified information (PII). The output anonymized speech should be able to authenticate by the authorized parties. However, since the mapping between speaker and pseudo-speaker is not necessarily one-to-one correspondence, recognizing genuine anonymized speech is difficult. To deal with this issue, the proposed framework integrates the information hiding approach to simultaneously secure PII and verify the content via an embedded watermark. The related publications consist of one international conference and two journals.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The progress of this study is going well as planned. At this stage, the proposed framework has been developed by integrating the information hiding approach to protecting content and securing speaker individuality information. It consists of an encoder and a decoder. The encoder aims to protect the speaker's identity by using an anonymization approach while embedding a parameter that represents a watermark. The decoder seeks to protect the authentication of the speech by accurately detecting the embedded watermarks. An extensive evaluation has been conducted to validate the proposed framework's performance compared to the existing methods. The results of this study in FY2021 were reported in APSIPA Proceeding 2021, MDPI Entropy Journal 2021, and Computer Speech and Language Journal 2022.
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| 今後の研究の推進方策 |
In future work, the remaining issues, especially those related to subjective and objective evaluations for intelligibility and naturalness requirements, will be addressed. The results obtained by using existing objective evaluations could give general information about a speaker anonymization method, but it is still inadequate to show the significance of each method. Besides, x-vector-based information hiding and the investigation of other prospective speech features will be considered. By controlling the less significant eigenstructure of the x-vector, we expect better protection for speech signals. Finally, the workflow for the real application will be investigated for speech tampering and spoofing countermeasure.
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