Non-lexical prosodic analysis is our term for the p rocess of extracting prosodic structure from a speech wavefor m without reference to the lexical contents of the speech. It has been shown that human subjects are able to perceive pros odic structure within speech without lexical cues. There is some evidence that this extends to the perception of dis fluency, for example, the detection interruption points (IPs) in low pass filtered speech samples. In this paper, we apply no n-lexical prosodic analysis to a corpus of data collected for a speaker in a multi-person meeting environment. We show how nonlexical prosodic analysis can help structure corpus data of this kind, and reinforce previous findings that non-lexi cal acoustic cues can help detect IPs. These cues can be describ ed by changes in amplitude and f0 after the IP and they c an be related to the acoustic characteristics of hyper-ar ticulated speech.
['Matthew P. Aylett']
Extracting the acoustic features of interruption points using non-lexical prosodic analysis.