Search Results for author: Edresson Casanova

Found 14 papers, 9 papers with code

CML-TTS A Multilingual Dataset for Speech Synthesis in Low-Resource Languages

no code implementations16 Jun 2023 Frederico S. Oliveira, Edresson Casanova, Arnaldo Cândido Júnior, Anderson S. Soares, Arlindo R. Galvão Filho

In this paper, we present CML-TTS, a recursive acronym for CML-Multi-Lingual-TTS, a new Text-to-Speech (TTS) dataset developed at the Center of Excellence in Artificial Intelligence (CEIA) of the Federal University of Goias (UFG).

Speech Synthesis

Evaluation of Speech Representations for MOS prediction

1 code implementation16 Jun 2023 Frederico S. Oliveira, Edresson Casanova, Arnaldo Cândido Júnior, Lucas R. S. Gris, Anderson S. Soares, Arlindo R. Galvão Filho

Among the supervised and self-supervised learning models using BRSpeechMOS, Whisper-Small achieved the best linear correlation of 0. 6980, and the speaker verification model, SpeakerNet, had linear correlation of 0. 6963.

Self-Supervised Learning Speaker Verification

Brazilian Portuguese Speech Recognition Using Wav2vec 2.0

1 code implementation23 Jul 2021 Lucas Rafael Stefanel Gris, Edresson Casanova, Frederico Santos de Oliveira, Anderson da Silva Soares, Arnaldo Candido Junior

In this sense, this work presents the development of an public Automatic Speech Recognition (ASR) system using only open available audio data, from the fine-tuning of the Wav2vec 2. 0 XLSR-53 model pre-trained in many languages, over BP data.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

2 code implementations2 Apr 2021 Edresson Casanova, Christopher Shulby, Eren Gölge, Nicolas Michael Müller, Frederico Santos de Oliveira, Arnaldo Candido Junior, Anderson da Silva Soares, Sandra Maria Aluisio, Moacir Antonelli Ponti

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.

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