Emotional Voice Variability in Speaker Verification

During the last years a growing interest in automatic speaker verification (ASV) systems developed. Recent ASV systems still produce two kinds of errors to a considerable extent: false acceptances and false rejections of speakers. The systems generally react extremely sensitive to intra-speaker variability of voice and speaking style, caused for example by different psychological states of the speaker. To improve the performance of ASV systems, different attempts can be made to modify the underlying mathematical or statistical models. Furthermore, most of the systems still use a set of spectral parameters as originally developed for speech recognition systems. The performance of ASV systems could be improved by selecting a set of acoustic parameters which show both, minimal intraspeaker variation and maximal inter-speaker variation.