27 citations · 121 across the 16 of their papers we have counts for
16 papers
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…
Predicting phoneme-level prosody latents using AR and flow-based Prior Networks for expressive speech synthesis
Konstantinos Klapsas, Karolos Nikitaras, Nikolaos Ellinas +5
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 i…
Learning utterance-level representations through token-level acoustic latents prediction for Expressive Speech Synthesis
Karolos Nikitaras, Konstantinos Klapsas, Nikolaos Ellinas +6
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 cha…
Cross-lingual Text-To-Speech with Flow-based Voice Conversion for Improved Pronunciation
Nikolaos Ellinas, Georgios Vamvoukakis, Konstantinos Markopoulos +7
This paper presents a method for end-to-end cross-lingual text-to-speech (TTS) which aims to preserve the target language's pronunciation regardless of the original speaker's langu…
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…
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…
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…
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…
Bunched LPCNet2: Efficient Neural Vocoders Covering Devices from Cloud to Edge
Sangjun Park, Kihyun Choo, Joohyung Lee +3
Text-to-Speech (TTS) services that run on edge devices have many advantages compared to cloud TTS, e.g., latency and privacy issues. However, neural vocoders with a low complexity…
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…
Word-Level Style Control for Expressive, Non-attentive Speech Synthesis
Konstantinos Klapsas, Nikolaos Ellinas, June Sig Sung +2
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 proso…
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…
Cross-lingual Low Resource Speaker Adaptation Using Phonological Features
Georgia Maniati, Nikolaos Ellinas, Konstantinos Markopoulos +5
The idea of using phonological features instead of phonemes as input to sequence-to-sequence TTS has been recently proposed for zero-shot multilingual speech synthesis. This approa…
High Quality Streaming Speech Synthesis with Low, Sentence-Length-Independent Latency
Nikolaos Ellinas, Georgios Vamvoukakis, Konstantinos Markopoulos +7
This paper presents an end-to-end text-to-speech system with low latency on a CPU, suitable for real-time applications. The system is composed of an autoregressive attention-based…
Expressive Text-to-Speech using Style Tag
Minchan Kim, Sung Jun Cheon, Byoung Jin Choi +2
As recent text-to-speech (TTS) systems have been rapidly improved in speech quality and generation speed, many researchers now focus on a more challenging issue: expressive TTS. To…