6 citations · 18 across the 7 of their papers we have counts for
7 papers
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…
Improved Text Emotion Prediction Using Combined Valence and Arousal Ordinal Classification
Michael Mitsios, Georgios Vamvoukakis, Georgia Maniati +13
Emotion detection in textual data has received growing interest in recent years, as it is pivotal for developing empathetic human-computer interaction systems. This paper introduce…
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…
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…