Multifractal analysis of electroencephalogram for human speech modalities

摘要

Verbal communication makes human unique from other species. People use different modalities of speech while communicating with others. Widely practised modalities are speak loudly (utter), whispering and mumbling with closed lips. Apart from speaking, people also speak in their mind. Due to different ailments or injury, some people have lost their ability to speak and are forced to take other means to communicate. Speech restoration through Brain Computer Interfacing (BCI) is still at nascent stage. Through this study, we have explored the contrast between these modalities and it will lead to identification of imagined speech through electroencephalography (EEG). As different speech modalities are similar in nature in spatiotemporal domain, here we have proposed utilisation of nonlinearilty, more specifically multifractal nature, of the modalities present in EEGs. On the basis of the multifractal parameters we have achieved 99.7% accuracy in classification.