This study evaluates methods that capture time-dynamic properties of diphthongs produced by speakers of Viennese German for application in a forensic setting. Polynomials, discrete cosine transform and B-splines along with experimental features based on bent-cable regression models were used to characterise the first three formant tracks of two /aE/ diphthong segments. The resulting coefficients were in turn used as parameters in a speaker discrimination procedure based on likelihood ratios which were calculated using a multi-variate kernel density formula (MVKD). A comparison of the achieved performance based on cross-validation is presented in terms of equal error rate (EER) and the log-likelihood ratio cost metric as well as DET plots.
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