Location of Repository

Prosodic Parsing of Spontaneous Speech

By E. Nöth, R. Kompe, A. Kießling, H. Niemann, A. Batliner, S. Schachtl, T. Rul and U. Block


In automatic speech understanding, the division of continuously running speech into syntactic chunks is a great problem. Syntactic boundaries are often marked by prosodic means. We use syntactic boundaries for disambiguation during parsing. For the training of statistic models for prosodic boundaries large databases are necessary. For the German Verbmobil project (automatic speech--to--speech translation), we developed a labeling scheme for syntactic--prosodic boundaries. Two main types of boundaries (major syntactic boundaries and syntactically ambiguous boundaries) and some other special boundaries are labeled for a large Verbmobil spontaneous speech corpus. We compare the results of classifiers (multi--layer perceptrons and language models) trained on these syntactic--prosodic boundary labels with classifiers trained on perceptual--prosodic and pure syntactic labels. Recognition rates of up to 96% were achieved. We show that the boundary scores computed by these classifiers can suc..

Year: 1996
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www5.informatik.uni-erl... (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.