A new method for speaker verification based on formant features is presented. A UBM-GMM verification system is applied to semi-automatically extracted formant features. Speaker-specific vocal tract configurations, including the speakers' variability, are incorporated in the speaker models. Speaker comparisons are expressed as likelihood ratios (the ratio of similarity to typicality). F1, F2 and F3 values all enable speakers to be distinguished with a low error rate. The corresponding bandwidths further lower the error rate.
Bibliographic reference. Becker, Timo / Jessen, Michael / Grigoras, Catalin (2008): "Forensic speaker verification using formant features and Gaussian mixture models", In INTERSPEECH-2008, 1505-1508.