| 研究実績の概要 |
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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