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dc.contributor.authorDusterhoff, Kurt E
dc.coverage.spatial10en
dc.date.accessioned2006-05-15T12:07:53Z
dc.date.available2006-05-15T12:07:53Z
dc.date.issued1998-05
dc.identifier.citationProceedings of the 1998 Postgraduate Conferenceen
dc.identifier.urihttp://www.ling.ed.ac.uk/~pgc/archive/1998/index.html
dc.identifier.urihttp://hdl.handle.net/1842/1068
dc.description.abstractThis paper presents a series of experiments which test the use of sub-syllable acoustic data in the automatic detection of Tilt [Tayng] intonation events. A set of speaker-dependent HMMs is used to detect accents, boundaries, connections and silences. A base result is obtained, following Taylor, by training the models using fundamental frequency and RMS energy. A second baseline is obtained using normalized F0 and energy. These base figures are then compared to a number of experiments which augment the F0 and energy data with auto-correlation peak, zero-crossing, or cepstral coefficients. In all cases, both the first and second derivative of each feature are included. The baseline results of the normalized data are within one percentage point of those in Taylor on the same speaker, which supports the comparison of this study with Taylor’s. The best results at present show a relative error reduction of 12% over the baseline.en
dc.format.extent38256 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherDepartments of Linguistics and Applied Linguistics, University of Edinburgh.en
dc.titleAn investigation into the effectiveness of sub-syllable acoustics in automatic intonation analysis.en
dc.typeConference Paperen


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