Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Klapsas, Konstantinos"'
Autor:
Klapsas, Konstantinos, Nikitaras, Karolos, Ellinas, Nikolaos, Sung, June Sig, Hwang, Inchul, Raptis, Spyros, Chalamandaris, Aimilios, Tsiakoulis, Pirros
A large part of the expressive speech synthesis literature focuses on learning prosodic representations of the speech signal which are then modeled by a prior distribution during inference. In this paper, we compare different prior architectures at t
Externí odkaz:
http://arxiv.org/abs/2211.01327
Autor:
Nikitaras, Karolos, Klapsas, Konstantinos, Ellinas, Nikolaos, Maniati, Georgia, Sung, June Sig, Hwang, Inchul, Raptis, Spyros, Chalamandaris, Aimilios, Tsiakoulis, Pirros
This paper proposes an Expressive Speech Synthesis model that utilizes token-level latent prosodic variables in order to capture and control utterance-level attributes, such as character acting voice and speaking style. Current works aim to explicitl
Externí odkaz:
http://arxiv.org/abs/2211.00523
Autor:
Nikitaras, Karolos, Vamvoukakis, Georgios, Ellinas, Nikolaos, Klapsas, Konstantinos, Markopoulos, Konstantinos, Raptis, Spyros, Sung, June Sig, Jho, Gunu, Chalamandaris, Aimilios, Tsiakoulis, Pirros
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 the acoustic conditions explicitly, in order to disentangle the primary
Externí odkaz:
http://arxiv.org/abs/2204.05070
Autor:
Klapsas, Konstantinos, Ellinas, Nikolaos, Nikitaras, Karolos, Vamvoukakis, Georgios, Kakoulidis, Panos, Markopoulos, Konstantinos, Raptis, Spyros, Sung, June Sig, Jho, Gunu, Chalamandaris, Aimilios, Tsiakoulis, Pirros
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. In our work, we utilize features learned in a self-supervised framework
Externí odkaz:
http://arxiv.org/abs/2204.03421
Autor:
Maniati, Georgia, Vioni, Alexandra, Ellinas, Nikolaos, Nikitaras, Karolos, Klapsas, Konstantinos, Sung, June Sig, Jho, Gunu, Chalamandaris, Aimilios, Tsiakoulis, Pirros
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 train automatic MOS prediction systems focused on the assessment of mo
Externí odkaz:
http://arxiv.org/abs/2204.03040
This paper presents an expressive speech synthesis architecture for modeling and controlling the speaking style at a word level. It attempts to learn word-level stylistic and prosodic representations of the speech data, with the aid of two encoders.
Externí odkaz:
http://arxiv.org/abs/2111.10173