The rhythm of bonafide speech is often difficult to replicate, which causes that the
fundamental frequency (F0) of synthetic speech is significantly different from that of real …

Audio impersonation attacks offer a substantial risk to voice-based authentication systems
and various speech recognition applications. Hence, there is a requirement for robust …

The most critical parameter of audio and video information output is the playback speed,
which affects many viewing or listening metrics, including when learning using tutoring …

Research on deepfake techniques for speech is crucial for combatting the spread of fake
information, safeguarding public privacy, and advancing forensic techniques. However, the …

As the use of synthetic communication is growing widely spread, the ability to accurately
identify counterfeit spoken words is now more important than ever. In this study, we have …

This article surveys the literature on voice analysis. The present invention relates to a
method and system for analyzing voice data to detect artificial speech then demodulate it to …

Identifikasi keaslian objek merupakan aspek penting dalam berbagai sektor, termasuk
keamanan dan perdagangan, guna mencegah kerugian finansial dan reputasi akibat …

This research paper presents a comprehensive voice analysis system capable of detecting
artificial speech and accurately predicting the gender and age of the speaker. Leveraging …

The work of Durall et al [1] showed that spectral features make deepfake images highly
separable from real images. Simple classification methods thus achieve near perfect …