2023 Fiscal Year Annual Research Report
Speech security on human-computer interaction
| Project/Area Number |
22K21304
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| Research Institution | Japan Advanced Institute of Science and Technology |
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Principal Investigator |
MAWALIM CandyOlivia 北陸先端科学技術大学院大学, 先端科学技術研究科, 助教 (10963720)
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| Project Period (FY) |
2022-08-31 – 2024-03-31
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| Keywords | speaker verification / spoof attacks / intelligibility / auditory model |
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| Outline of Annual Research Achievements |
This fiscal year, our research addressed the previously unclear target of anonymization and the diverse threats posed by speech attacks. To tackle spoofing in speaker verification systems, we proposed novel methods using linear frequency cepstral coefficients and spectro-temporal modulation representation. These findings were presented at the APSIPA 2023 and iSAI-NLP 2023 conferences. We also investigated human speech perception through an auditory periphery model. This research, published in the Journal of Applied Acoustics, provides a foundation for future studies on detecting speech and speaker identity changes caused by speech synthesis techniques. Finally, we are expanding our research scope beyond English by initiating the development of a Thai language spoof database.
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Research Products
(11 results)
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[Presentation] ThaiSpoof: A Database for Spoof Detection in Thai Language2023
Author(s)
Kasorn Galajit, Thunpisit Kosolsriwiwat, Candy Olivia Mawalim, Pakinee Aimmanee, Waree Kongprawechnon, Win Pa Pa, Anuwat Chaiwongyen, Teeradaj Racharak, Hayati Yassin, Jessada Karnjana, Surasak Boonkla, and Masashi Unoki
Organizer
The 18th International Joint Symposium on Artificial Intelligence and Natural Language Processing and The International Conference on Artificial Intelligence and Internet of Things (iSAI-NLP 2023)
Int'l Joint Research
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