11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

Signal-Based Accent and Phrase Marking Using the Fujisaki Model

Hussein Hussein, Rüdiger Hoffmann

Technische Universität Dresden, Germany

The automatic prosodic marking is very important in speech signal processing, since its results are required in many subsections, e.g. speech synthesis and speech recognition. The most important prosodic features on the linguistic level are the marking of accents and phrases. In this paper, we develop an automatic algorithm for marking accents and phrases, which analyzes the F0 contour using the quantitative Fujisaki model. The results of automatic extraction of accents and phrases have been compared to the human labeling performance. The success rate of accent and phrase marking amounts to 77.11% and 67.12% respectively.

Full Paper

Bibliographic reference.  Hussein, Hussein / Hoffmann, Rüdiger (2010): "Signal-based accent and phrase marking using the fujisaki model", In INTERSPEECH-2010, 1169-1172.