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|Title: ||A quantitative model of Yorùbá Speech Intonation using Stem-ML|
|???metadata.dc.creator???: ||Àjàdí, Odéjobí Odétúnjí|
|Keywords: ||Intonation modelling|
Modelagem de entonação
Síntese de fala
|Publisher: ||Editora da UFLA|
|Citation: ||ÀJÀDÍ, O. O. A quantitative model of Yorùbá Speech Intonation using Stem-ML. INFOCOMP: Journal of Computer Science, Lavras, v. 6, n. 3, p. 47-55, Sept. 2007.|
|Abstract: ||We present a quantitative model of Standard Yorùbá (SY) intonation; it is designed to have parameters that are linguistically interpretable. The model is built and trained on speech data from a native speaker of SY. The resulting model reproduces the data well: its Root Mean Square prediction error (RMSE) is 14:00 Hz on a test set. We find that intonation is used to mark sentence and phrase boundaries: beginning syllables are systematically stronger, while ending syllables are systematically weaker than the medial syllables. The M tone is the strongest and the H tone is the weakest, though the differences are modest. We see comparable amounts of carry-over and anticipatory co-articulation. The resulting model for SY shows similar characteristics when compared to Mandarin and Cantonese intonation models.|
|Other Identifiers: ||http://www.dcc.ufla.br/infocomp/index.php/INFOCOMP/article/view/185|
|Appears in Collections:||Infocomp|
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