NDLI: Automatic classification of prosodically marked phrase boundaries in German

Content Provider	IEEE Xplore Digital Library
Author	Kompe, R. Batliner, A. Kiessling, A. Kilian, U. Niemann, H. Noth, E. Regel-Brietzmann, P.
Copyright Year	1994
Description	Author affiliation: Lehrstuhl fur Mustererkennung, Erlangen-Nurnberg Univ., Germany (Kompe, R.)
Abstract	A large corpus has been created automatically and read by 100 speakers. Phrase boundaries were labeled in the sentences automatically during sentence generation. Perception experiments on a subset of 500 utterances showed a high agreement between the automatically generated boundary markers and the ones perceived by listeners. Gaussian distribution and polynomial classifiers were trained on a set of prosodic features computed from the speech signal using the automatically generated boundary markers. Comparing the classification results with the judgments of the listeners yielded in a recognition rate of 87%. A combination with stochastic language models improved the recognition rate to 90%. We found that the pause and the durational features are most important for the classification, but that the influence of F0 is not neglectable.<>
File Size	521142
File Format	PDF
ISBN	0780317750
ISSN	15206149
DOI	10.1109/ICASSP.1994.389691
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-04-19
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Speech Polynomials Stochastic processes Databases Testing Gaussian distribution Distributed computing Signal generators Labeling Hidden Markov models
Content Type	Text
Resource Type	Article

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