Speaker forensic identification using joint factor analysis and i-vector

R. J. Rouf, D. Arifianto*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


Speaker Forensic is a process to determine the identity between a person's voice (known speaker) and the investigated voice (suspect speaker). To improve accuracy in speaker forensic analysis is used a combination of 2 forensic methods, joint factor analysis and i-vector methods. The forensic approach by adding noise signal with SNR value as a representation of a tapping situation to measure speaker identification performance. Classification on verification using i-vector is done by comparing i-vector model tests and targets. Both models calculated vector similarities using cosine similarity score. Verification is done with compare the same speaker and verification between different speakers The testing process on the program performance is indicated by an equal rate error value. While the system's sensibility is indicated by the threshold value. The results showed that the EER value of the Graz dataset (1.87%) compared to the Indonesia dataset (10%).

Original languageEnglish
Article number012026
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 10 May 2021
Event1st Biennial International Conference on Acoustics and Vibration, ANV 2020 - Virtual, Online, India
Duration: 23 Nov 202024 Nov 2020


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