Modelling Japanese intonation using PENTAtrainer2

This paper presents results from Japanese intonation modelling using PENTAtrainer2, an articulatory synthesiser. Our first aim is to show that PENTA, on which PENTAtrainer2 is based, can achieve high accuracy in predictive synthesis of varying intonation contours. We trained the synthesiser on a 6251-sentence functionally annotated corpus and generated F0 contours for each communicative condition. The accuracy of speaker-dependent and independent synthesis, together with naturalness ratings, show that PENTA is effective in modelling Japanese intonation. This suggests that once contextual variability is incorporated into a model, multi-functional targets alone would suffice as the prosodic representation even in a sizeable corpus.postprin

Pre-Low Raising in Japanese Pitch Accent

Japanese has been observed to have 2 versions of the H tone, the higher of which is associated with an accented mora. However, the distinction of these 2 versions only surfaces in context but not in isolation, leading to a long-standing debate over whether there is 1 H tone or 2. This article reports evidence that the higher version may result from a pre-low raising mechanism rather than being inherently higher. The evidence is based on an analysis of F0 of words that varied in length, accent condition and syllable structure, produced by native speakers of Japanese at 2 speech rates. The data indicate a clear separation between effects that are due to mora-level preplanning and those that are mechanical. These results are discussed in terms of mechanisms of laryngeal control during tone production, and highlight the importance of articulation as a link between phonology and surface acoustics.postprin