Thursday 22nd November, 2pm, SAWB 423
Title: Representations of Prosody in Computational Models for Language Processing
This talk looks at the implications of different spoken language processing tasks and machine learning strategies for representing prosody in a computational model. We consider local prosodic events related to prominence and segmentation, as well as prosodic patterns that provide cues to high-level phenomena related to topic dynamics and social interaction. At the local level, the case for a symbolic intermediate representation of prosody is presented, with a discussion of the challenge of making prosodic cues truly complementary to lexical cues in language processing. For higher level language analysis, we suggest handling prosodic correlates (e.g. F0, energy contours) as signals with frequency analysis techniques used in feature extraction, analogous to recent work in speech recognition aimed at moving beyond frame-based analysis. A cross-cutting theme is the issue of normalisation to factor out the different types of information that prosodic correlates carry.