title: Linguistic models of F0 use, physiological models of F0 control, and the issue of "mean response time".
abstract: This paper evaluates "mean response time" (MRT), a method used in previous studies to relate physiological evidence (recordings of electromyographic activity in the cricothyroid and sternohyoid) to acoustic evidence (fundamental frequency). Rather than averaging over tokens before correlating these signals, we calculated the best response time (RT) for each token, and evaluated the pattern of variability across utterances. Furthermore, rather than correlating over whole utterances, we correlated electromyographic activity (EMG) to fundamental frequency (F0) only over intervals defined in terms of linguistically significant events in the F0 trace, identified using a linguistically motivated model of English intonation. Steep changes in the F0 tended to have better correlation coefficients than shallow ones, which we relate to the physiological model by noting the complex of components contributing to both signal types. Also, the distribution of lead times was easier to interpret when the two tones delimiting the analysis domain had some tight temporal relationship specified by the intonational phonology. Finally, lead times tended to vary as a function of what preceded the target rise or fall. In short, averaging over signals before analysis obscures patterns of variation in the data which may lead to new insights and to new directions for research.
authors.affiliation: Psychology Department, Indiana University, Bloomington 47405, USA. reherman@indiana.edu
authors.forename: R
authors.initials: R
authors.lastname: Herman
authors.forename: M
authors.initials: M
authors.lastname: Beckman
authors.forename: K
authors.initials: K
authors.lastname: Honda
mesh_terms: D004576:Electromyography / Q000379:methods*; D005260:Female; D006801:Humans; D007830:Larynx / Q000502:physiology*; D008954:Models, Biological; D011930:Reaction Time; D012815:Signal Processing, Computer-Assisted; D013060:Speech / Q000502:physiology*; D014831:Voice / Q000502:physiology