278 citations · 372 across the 9 of their papers we have counts for
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cs.SD2021
Visualising and Explaining Deep Learning Models for Speech Quality Prediction
H. Tilkorn, G. Mittag, S. Möller
Estimating quality of transmitted speech is known to be a non-trivial task. While traditionally, test participants are asked to rate the quality of samples; nowadays, automated met…
cs.SD2021★ 62 cited
Deep Learning Based Assessment of Synthetic Speech Naturalness
Gabriel Mittag, Sebastian Möller
In this paper, we present a new objective prediction model for synthetic speech naturalness. It can be used to evaluate Text-To-Speech or Voice Conversion systems and works languag…