27 citations · 52 across the 10 of their papers we have counts for
9 papers · 1 filter
Pseudo-Cepstrum: Pitch Modification for Mel-Based Neural Vocoders
Nikolaos Ellinas, Alexandra Vioni, Panos Kakoulidis +8
This paper introduces a cepstrum-based pitch modification method that can be applied to any mel-spectrogram representation. As a result, this method is compatible with any mel-base…
Investigating Disentanglement in a Phoneme-level Speech Codec for Prosody Modeling
Sotirios Karapiperis, Nikolaos Ellinas, Alexandra Vioni +4
Most of the prevalent approaches in speech prosody modeling rely on learning global style representations in a continuous latent space which encode and transfer the attributes of r…
Low-Resource Cross-Domain Singing Voice Synthesis via Reduced Self-Supervised Speech Representations
Panos Kakoulidis, Nikolaos Ellinas, Georgios Vamvoukakis +8
In this paper, we propose a singing voice synthesis model, Karaoker-SSL, that is trained only on text and speech data as a typical multi-speaker acoustic model. It is a low-resourc…
Controllable speech synthesis by learning discrete phoneme-level prosodic representations
Nikolaos Ellinas, Myrsini Christidou, Alexandra Vioni +4
In this paper, we present a novel method for phoneme-level prosody control of F0 and duration using intuitive discrete labels. We propose an unsupervised prosodic clustering proces…
Investigating Content-Aware Neural Text-To-Speech MOS Prediction Using Prosodic and Linguistic Features
Alexandra Vioni, Georgia Maniati, Nikolaos Ellinas +4
Current state-of-the-art methods for automatic synthetic speech evaluation are based on MOS prediction neural models. Such MOS prediction models include MOSNet and LDNet that use s…
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…
Prosodic Clustering for Phoneme-level Prosody Control in End-to-End Speech Synthesis
Alexandra Vioni, Myrsini Christidou, Nikolaos Ellinas +7
This paper presents a method for controlling the prosody at the phoneme level in an autoregressive attention-based text-to-speech system. Instead of learning latent prosodic featur…
Improved Prosodic Clustering for Multispeaker and Speaker-independent Phoneme-level Prosody Control
Myrsini Christidou, Alexandra Vioni, Nikolaos Ellinas +7
This paper presents a method for phoneme-level prosody control of F0 and duration on a multispeaker text-to-speech setup, which is based on prosodic clustering. An autoregressive a…
Rapping-Singing Voice Synthesis based on Phoneme-level Prosody Control
Konstantinos Markopoulos, Nikolaos Ellinas, Alexandra Vioni +8
In this paper, a text-to-rapping/singing system is introduced, which can be adapted to any speaker's voice. It utilizes a Tacotron-based multispeaker acoustic model trained on read…