Inicio  /  Informatics  /  Vol: 8 Par: 4 (2021)  /  Artículo
ARTÍCULO
TITULO

Analysis and Assessment of Controllability of an Expressive Deep Learning-Based TTS System

Noé Tits    
Kevin El Haddad and Thierry Dutoit    

Resumen

In this paper, we study the controllability of an Expressive TTS system trained on a dataset for a continuous control. The dataset is the Blizzard 2013 dataset based on audiobooks read by a female speaker containing a great variability in styles and expressiveness. Controllability is evaluated with both an objective and a subjective experiment. The objective assessment is based on a measure of correlation between acoustic features and the dimensions of the latent space representing expressiveness. The subjective assessment is based on a perceptual experiment in which users are shown an interface for Controllable Expressive TTS and asked to retrieve a synthetic utterance whose expressiveness subjectively corresponds to that a reference utterance.

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