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20222025
most citedSOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis

27 citations · 37 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.SD2022

Generating Multilingual Gender-Ambiguous Text-to-Speech Voices

Konstantinos Markopoulos, Georgia Maniati, Georgios Vamvoukakis +9

The gender of any voice user interface is a key element of its perceived identity. Recently, there has been increasing interest in interfaces where the gender is ambiguous rather t…

cs.SD2022★ 5 cited

Fine-grained Noise Control for Multispeaker Speech Synthesis

Karolos Nikitaras, Georgios Vamvoukakis, Nikolaos Ellinas +7

A text-to-speech (TTS) model typically factorizes speech attributes such as content, speaker and prosody into disentangled representations.Recent works aim to additionally model th…

eess.AS2022★ 3 cited

Karaoker: Alignment-free singing voice synthesis with speech training data

Panos Kakoulidis, Nikolaos Ellinas, Georgios Vamvoukakis +5

Existing singing voice synthesis models (SVS) are usually trained on singing data and depend on either error-prone time-alignment and duration features or explicit music score info…

cs.SD2022

Self-supervised learning for robust voice cloning

Konstantinos Klapsas, Nikolaos Ellinas, Karolos Nikitaras +8

Voice cloning is a difficult task which requires robust and informative features incorporated in a high quality TTS system in order to effectively copy an unseen speaker's voice. I…

cs.SD2022★ 27 cited

SOMOS: The Samsung Open MOS Dataset for the Evaluation of Neural Text-to-Speech Synthesis

Georgia Maniati, Alexandra Vioni, Nikolaos Ellinas +6

In this work, we present the SOMOS dataset, the first large-scale mean opinion scores (MOS) dataset consisting of solely neural text-to-speech (TTS) samples. It can be employed to…