32 citations · 66 across the 9 of their papers we have counts for
11 papers
The Impact of Prosodic Segmentation on Speech Synthesis of Spontaneous Speech
Julio Cesar Galdino, Sidney Evaldo Leal, Leticia Gabriella De Souza +6
Spontaneous speech presents several challenges for speech synthesis, particularly in capturing the natural flow of conversation, including turn-taking, pauses, and disfluencies. Al…
XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model
Edresson Casanova, Kelly Davis, Eren Gölge +8
Most Zero-shot Multi-speaker TTS (ZS-TTS) systems support only a single language. Although models like YourTTS, VALL-E X, Mega-TTS 2, and Voicebox explored Multilingual ZS-TTS they…
MLAAD: The Multi-Language Audio Anti-Spoofing Dataset
Nicolas M. Müller, Piotr Kawa, Wei Herng Choong +6
This paper presents the Multi-Language Audio Anti-Spoofing Dataset (MLAAD), version 11: a dataset of synthetic audio to train and evaluate audio deepfake detection models. It featu…
Interpretability Analysis of Deep Models for COVID-19 Detection
Daniel Peixoto Pinto da Silva, Edresson Casanova, Lucas Rafael Stefanel Gris +8
During the outbreak of COVID-19 pandemic, several research areas joined efforts to mitigate the damages caused by SARS-CoV-2. In this paper we present an interpretability analysis…
YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone
Edresson Casanova, Julian Weber, Christopher Shulby +3
YourTTS brings the power of a multilingual approach to the task of zero-shot multi-speaker TTS. Our method builds upon the VITS model and adds several novel modifications for zero-…
CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese
Arnaldo Candido Junior, Edresson Casanova, Anderson Soares +8
Automatic Speech recognition (ASR) is a complex and challenging task. In recent years, there have been significant advances in the area. In particular, for the Brazilian Portuguese…
Performance evaluation in the reconstruction of 2D images of computed tomography using massively parallel programming CUDA
Alexssandro Ferreira Cordeiro, Pedro Luiz de Paula Filho, Hamilton Pereira da Silva +3
Analysis of processing time and similarity of images generated between CPU and GPU architectures and sequential and parallel programming. For image processing a computer with AMD F…
Brazilian Portuguese Speech Recognition Using Wav2vec 2.0
Lucas Rafael Stefanel Gris, Edresson Casanova, Frederico Santos de Oliveira +2
Deep learning techniques have been shown to be efficient in various tasks, especially in the development of speech recognition systems, that is, systems that aim to transcribe an a…
SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model
Edresson Casanova, Christopher Shulby, Eren Gölge +6
In this paper, we propose SC-GlowTTS: an efficient zero-shot multi-speaker text-to-speech model that improves similarity for speakers unseen during training. We propose a speaker-c…
TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese
Edresson Casanova, Arnaldo Candido Junior, Christopher Shulby +4
Speech provides a natural way for human-computer interaction. In particular, speech synthesis systems are popular in different applications, such as personal assistants, GPS applic…
Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models
Edresson Casanova, Arnaldo Candido Junior, Christopher Shulby +5
In this paper we present an efficient method for training models for speaker recognition using small or under-resourced datasets. This method requires less data than other SOTA (St…