Evaluating Features and Metrics for High-Quality Simulation of Early Vocal Learning of Vowels

Autor:	Gerazov, Branislav, van Niekerk, Daniel, Xu, Anqi, Krug, Paul Konstantin, Birkholz, Peter, Xu, Yi
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Audio and Speech Processing Computer Science - Sound
Druh dokumentu:	Working Paper
Popis:	The way infants use auditory cues to learn to speak despite the acoustic mismatch of their vocal apparatus is a hot topic of scientific debate. The simulation of early vocal learning using articulatory speech synthesis offers a way towards gaining a deeper understanding of this process. One of the crucial parameters in these simulations is the choice of features and a metric to evaluate the acoustic error between the synthesised sound and the reference target. We contribute with evaluating the performance of a set of 40 feature-metric combinations for the task of optimising the production of static vowels with a high-quality articulatory synthesiser. Towards this end we assess the usability of formant error and the projection of the feature-metric error surface in the normalised F1-F2 formant space. We show that this approach can be used to evaluate the impact of features and metrics and also to offer insight to perceptual results. Comment: Submitted to INTERSPEECH 2021
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2005.09986 Zobrazit plný text záznamu View this record from Arxiv