A trainable prosodic model called SFC (Superposition of Functional Contours), proposed by Holm and Bailly, is here applied to Castillan intonation. Training material has been kindly provided by the Speech Processing Group at UPC. We describe the labeling framework and first evaluation results that compares the original prosody of test sentences of this corpus with their prosodic rendering by the proposed model and state-of-the-art systems available on-line on the web.