Publikation: Cutting down on manual pitch contour annotation using data modeling
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When experimental studies on intonation are based on large data sets, manual annotation of F0 contours using pre-defined categories such as a ToBI (Tones and Break Indices) system is tedious, costly and difficult to provide reliability. We present two data-driven modelling techniques that provide visual and quantitative maps of the F0 contour data set. The maps can be used to determine which ToBI categories are present in the data and in what proportions. Importantly, parts of the map that are sufficiently homogeneous, i.e. they contain only one ToBI category, can be directly labelled without manual annotation, hence reducing overall annotation costs. The modelling techniques will be evaluated using a small data set where a complete manual ToBI annotation was carried out, hence providing a ground truth for the evaluation.
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ASANO, Yuki, Michele GUBIAN, Dominik SACHA, 2016. Cutting down on manual pitch contour annotation using data modeling. Speech Prosody 2016. Boston, USA, 31. Mai 2016 - 3. Juni 2016. In: BARNES, Jon, ed. and others. Speech Prosody 2016. ISCA, 2016, pp. 282-286. eISSN 2333-2042. Available under: doi: 10.21437/SpeechProsody.2016BibTex
@inproceedings{Asano2016Cutti-45088, year={2016}, doi={10.21437/SpeechProsody.2016}, title={Cutting down on manual pitch contour annotation using data modeling}, publisher={ISCA}, booktitle={Speech Prosody 2016}, pages={282--286}, editor={Barnes, Jon}, author={Asano, Yuki and Gubian, Michele and Sacha, Dominik} }
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