Sentence examples for word durations from inspiring English sources
A model parameter corresponding to metric grid height improved model fit of word durations and inter-onset intervals.
Word durations convey many types of linguistic information, including intrinsic lexical features like length and frequency and contextual features like syntactic and semantic structure.
One-syllable word durations and inter-onset intervals were modeled as functions of segment number, lexical frequency, word class, syntactic structure, repetition, and font emphasis.
Consistent with prior work, factors predicting longer word durations and inter-onset intervals included more phonemes, lower frequency, first mention, alignment with a syntactic boundary, and capitalization.
Overt production, unmouthed and mouthed inner speech all led to reduction in target word onsets, but target word durations were only shortened when a word was initially said aloud.
Persons who stutter showed a higher percentage dysfluencies and a higher percentage incorrect speech productions than PWNS but there were no main group effects in reaction times and word durations.
Recordings were acoustically examined for changes in word duration, peak intensity and peak F0 from baseline to post-training.
Conversely, speakers realized only three levels of metric hierarchy with word duration, demonstrating that they shortened the highly predictable rhyme resolutions.
These results further understanding of the factors that affect spoken word duration, and demonstrate the myriad cues that children receive about linguistic structure from nursery rhymes.
Researchers measured five different qualities for each word: duration (D), harmonics-to-noise ratio (H), intensity (I), pitch (P), and pitch change (C).
Overall, the results indicated that homorganic clusters elicited more incorrect speech productions and longer reaction times than the heterorganic clusters, but there was no difference between the homorganic and the heterorganic clusters in the word duration data.
