Auditive learning based Chinese F0 prediction

The paper describes a new F0 (fundamental frequency) model based on an auditive learning (AL) method. Being focused on the notion of prosody templates, we confirmed that F0 patterns for a syllable can be extracted from various anamorphoses of F0 contours in spontaneous speech. It is most suitable to use the F0 templates selection method for Chinese F0 prediction with prosody cost function (PCF). Furthermore, an AL method is used to adjust the weight of PCF dynamically in application. Unlike other methods, the approach may give feedback as to exactly what are the crucial parameters determining the successful choice of patterns. The paper also analyzes the error distribution of the F0 prediction results. Both smoothing testing and F0 range testing show that the synthesis results are very close to human speech.