Goal

The goal is to build a generative model that can characterize the singing style of a singer in the sung melodic contours, i.e., F 0 contours, and predict the F 0 contour that reflects the singing style for an arbitrary musical score, using a mixture of Gaussian process experts (MoGPEs). The experimental results showed that our model is promising for predicting the F 0 contour for a given musical score. An application of this work is singing style conversion which automatically converts a poor singing voice into an expressive singing voice. Motivation Statistical modeling of F 0 contour Evaluation � Dynamic fluctuations in a sung melodic contour (F 0 contour) Non-musically-trained singer Musically-trained singer 0 2 4 6 8 10 [sec.] • Vibrato: quasi-periodic variation Related to singing skill, style, • Portamento: gradual sliding of pitch and expression [1-3] Musically-trained singer can skillfully control the F fluctuations 0 and expressively sing a melody based on the personal style � Dynamic fluctuations in a power contour Non-musically-trained singer Musically-trained singer 0 2 4 6 8 10 [sec.] • Rise and fall of power according to the pitch of musical notes • Fluctuations correlated with vibrato in the F contour 0 Musically-trained singer can also control the power of singing voic

Variation in Dutch: From written 'mogelijk' to spoken 'mok'

Contains fulltext : 42021.pdf (publisher's version ) (Open Access)41 p