Implications of prosody modeling for prosody recognition

Journal article

This paper introduces Stem-ML, which is a model of the prosody generation process with an associated description language, and suggests how it may help prosody recognition. We applied Stem-ML modeling to three topics: the modeling of prosodic strengths, intonation types, and noun phrase patterns. Stem-ML parameters derived from F0 contours may have a more consistent relationship with prosodic events than raw F0 values. This may improve identification of accent classes, accent strengths, and intonation types.

Authors: Shih, C; Kochanski, G; Fosler-Lussier, E; Chan, M; Yuan, J

• Publication status: Published
• Peer review status: Not peer reviewed
• Publisher: International Speech Communication Association (ISCA)
• Edition: Author's Original
• Language: English
• Keywords: prosodic strength; intonation; prosody; Soft Template Markup Language (Stem-ML)
• Subjects: Linguistics