This paper deals with speech signal under psychological stress. The investigation into the speaker's stress is based on statistical analysis of smooth vowel spectra. In total, fifteen features based on formants, antiformants and inflexion points of spectral envelope were analysed and evaluated. The most effective features for stress detection across all speakers were as follows: frequency of the second formant of /a/, frequency of the first formant of /i/, and lower part of bandwidth of the third formant of /u/ and /a/. The results indicate that speakers tend to follow an individual trend and speaker dependent stress recognition might be more appropriate.
A significant part of information carried in speech signal refers to the speaker. This paper deals with investigating alcohol intoxication based on analyzing recorded speech signal. Speech changes resulting from alcohol intoxication were investigated in the waveform of glottal pulses estimated from speech by applying the Iterative Adaptive Inverse Filtering (IAIF). Experimental results show that analysis of glottal excitation appears to be a useful approach to provide evidence of alcohol intoxication of over 1‰. At this alcohol level, the associated negative events influence professional performance and may involve fatal accidents in some cases. Via analyzing the speech signal, the speaker could be automatically monitored without their active cooperation. For use in our experiments, a new collection of Czech alcoholized speech consisting of phonetically identical speech data spoken in both sober and intoxicated state was created.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.