32 citations · 66 across the 9 of their papers we have counts for
5 papers · 1 filter
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…