Abstract
Jitter and shimmer as indicators of the quality of voice are often used to detect speech disorders and a variety of narrative styles. In this article we examine the suitability of the jitter and shimmer voice quality measurements for speaker verification task. We combine these voice quality features and further prosodic features with short-term spectral features (namely MFCCs). For the purposes of our experiments, we used a subset of the TIMIT database transcoded using different narrowband speech codecs. Finally results for different combinations of the features are presented and compared. The results show that the jitter and shimmer significantly increase accuracy of the system and they are robust against codec artefacts.
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