An evaluation of objective quality measures for speech intelligibility prediction

In this research various objective quality measures are evalu-ated in order to predict the intelligibility for a wide range of non-linearly processed speech signals and speech degraded by additive noise. The obtained results are compared with the pre-diction results of a more advanced perceptual-based model pro-posed by Dau et al. and an objective intelligibility measure, namely the coherence speech intelligibility index (cSII). These tests are performed in order to gain more knowledge between the link of speech-quality and speech-intelligibility and may help us to exploit the extensive research done into the field of speech-quality for speech-intelligibility. It is shown that cSII does not necessarily show better performance compared to con-ventional objective (speech)-quality measures. In general, the DAU-model is the only method with reasonable results for all processing conditions. Index Terms: Speech intelligibility prediction, speech quality, objective Measure.