14th International Congress of Phonetic Sciences (ICPhS-14)
San Francisco, CA, USA
Neural networks were used to classify nuclear and prenuclear
tunes. Experiment (1) included imitations of one- or two-syllable
phrases representing 9 different nuclear tunes defined in terms of
Low, Mid or High tone. Exp. (2) included imitations of longer
phrases, some with an unaccented PTs, H or L PTs and the 9
NTs of exp. (1).
All imitations were judged for equivalence with the models, and wrong imitations were discarded. In (1) and (2) one part of the materials was used for training and another part for testing. Exp. (3) included a read text, in which some of the classes of tunes distinguished in exp. (1) and (2) were conflated so as to produce 4 classes of nuclear tunes. The accuracy of classification in the training set and the testing set was similar: The scores were mostly contained within a bracket of approx. 80 to 90 percent.
Bibliographic reference. Demenko, Grażyna / Jassem, Wiktor (1999): "A classification of Polish pitch accents using neural networks.", In ICPhS-14, 1525-1528.