Information density and phonetic structure: explaining segmental variability
Saarland University, Saarbruecken, Germany, 2019.
There is growing evidence that information-theoretic principles influence linguistic structures. Regarding speech several studies have found that phonetic structures lengthen in duration and strengthen in their spectral features when they are difficult to predict from their context, whereas easily predictable phonetic structures are shortened and reduced spectrally.
Most of this evidence comes from studies on American English, only some studies have shown similar tendencies in Dutch, Finnish, or Russian. In this context, the Smooth Signal Redundancy hypothesis (Aylett and Turk 2004, Aylett and Turk 2006) emerged claiming that the effect of information-theoretic factors on the segmental structure is moderated through the prosodic structure. In this thesis, we investigate the impact and interaction of information density and prosodic structure on segmental variability in production analyses, mainly based on German read speech, and also listeners‘ perception of differences in phonetic detail caused by predictability effects. Information density (ID) is defined as contextual predictability or surprisal (S(unit_i) = -log2 P(unit_i|context)) and estimated from language models based on large text corpora.
In addition to surprisal, we include word frequency, and prosodic factors, such as primary lexical stress, prosodic boundary, and articulation rate, as predictors of segmental variability in our statistical analysis. As acoustic-phonetic measures, we investigate segment duration and deletion, voice onset time (VOT), vowel dispersion, global spectral characteristics of vowels, dynamic formant measures and voice quality metrics. Vowel dispersion is analyzed in the context of German learners‘ speech and in a cross-linguistic study. As results, we replicate previous findings of reduced segment duration (and VOT), higher likelihood to delete, and less vowel dispersion for easily predictable segments. Easily predictable German vowels have less formant change in their vowel section length (VSL), F1 slope and velocity, are less curved in their F2, and show increased breathiness values in cepstral peak prominence (smoothed) than vowels that are difficult to predict from their context.
Results for word frequency show similar tendencies: German segments in high-frequency words are shorter, more likely to delete, less dispersed, and show less magnitude in formant change, less F2 curvature, as well as less harmonic richness in open quotient smoothed than German segments in low-frequency words. These effects are found even though we control for the expected and much more effective effects of stress, boundary, and speech rate. In the cross-linguistic analysis of vowel dispersion, the effect of ID is robust across almost all of the six languages and the three intended speech rates. Surprisal does not affect vowel dispersion of non-native German speakers. Surprisal and prosodic factors interact in explaining segmental variability. Especially, stress and surprisal complement each other in their positive effect on segment duration, vowel dispersion and magnitude in formant change. Regarding perception we observe that listeners are sensitive to differences in phonetic detail stemming from high and low surprisal contexts for the same lexical target.