Speaker stress detection by analysis of glottal excitation
نویسندگان
چکیده
In this contribution the recognition of stress and emotional state is analysed by speech signal analysis using Liljencrant-Fant's model. It is based on the knowledge that some parameters of glottal pulses, obtained by this model, are changed owing to stress, hence they are suitable for the detection of speaker's stressed (" abnormal ") state. Two procedures for the analysis of these parameters are described in detail. The first of them is an analysis of parameters of randomly chosen speech parts (of phonetically constant length) that makes fewer demands on segment selection, the second is an analysis of speech parts going one by one in time. The methods were applied to sound recordings made at " stressed " oral examinations at a university. The results obtained show the applicability of these parameters and methods especially for speech analysis when we have at our disposal a signal recorded in the " normal " (steady) state of speaker.
منابع مشابه
Advances in Glottal Analysis and its Applications
From artificial voices in GPS to automatic systems of dictation, from voice-based identity verification to voice pathology detection, speech processing applications are nowadays omnipresent in our daily life. By offering solutions to companies seeking for efficiency enhancement with simultaneous cost saving, the market of speech technology is forecast to be particularly promising in the next ye...
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