Edresson Casanova

Orcid: 0000-0003-0160-7173

According to our database1, Edresson Casanova authored at least 28 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
MuPe Life Stories Dataset: Spontaneous Speech in Brazilian Portuguese with a Case Study Evaluation on ASR Bias against Speakers Groups and Topic Modeling.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024
Low Frame-rate Speech Codec: a Codec Designed for Fast High-quality Speech LLM Training and Inference.
CoRR, 2024

XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model.
CoRR, 2024

TTS applied to the generation of datasets for automatic speech recognition.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

MLAAD: The Multi-Language Audio Anti-Spoofing Dataset.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
CORAA ASR: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese.
Lang. Resour. Evaluation, September, 2023

Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person.
CoRR, 2023

CML-TTS: A Multilingual Dataset for Speech Synthesis in Low-Resource Languages.
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023

Evaluation of Speech Representations for MOS Prediction.
Proceedings of the Text, Speech, and Dialogue - 26th International Conference, 2023

ASR data augmentation in low-resource settings using cross-lingual multi-speaker TTS and cross-lingual voice conversion.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese.
Lang. Resour. Evaluation, 2022

Interpretability Analysis of Deep Models for COVID-19 Detection.
CoRR, 2022

A single speaker is almost all you need for automatic speech recognition.
CoRR, 2022

Overview of the Automatic Speech Recognition for Spontaneous and Prepared Speech & Speech Emotion Recognition in Portuguese (S&ER) Shared-tasks at PROPOR 2022.
Proceedings of the Workshop on Automatic Speech Recognition for Spontaneous and Prepared Speech & Speech Emotion Recognition in Portuguese co-located with 15th edition of the International Conference on the Computational Processing of Portuguese (PROPOR 2022), 2022

Brazilian Portuguese Speech Recognition Using Wav2vec 2.0.
Proceedings of the Computational Processing of the Portuguese Language, 2022

BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone.
Proceedings of the International Conference on Machine Learning, 2022

2021
CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian Portuguese.
CoRR, 2021

Evaluating Semantic Similarity Methods to Build Semantic Predictability Norms of Reading Data.
Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021

SC-GlowTTS: An Efficient Zero-Shot Multi-Speaker Text-To-Speech Model.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition Models.
Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

Deep Learning against COVID-19: Respiratory Insufficiency Detection in Brazilian Portuguese Speech.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
End-To-End Speech Synthesis Applied to Brazilian Portuguese.
CoRR, 2020

Speech2Phone: A Multilingual and Text Independent Speaker Identification Model.
CoRR, 2020

Natural Language Inference for Portuguese Using BERT and Multilingual Information.
Proceedings of the Computational Processing of the Portuguese Language, 2020

Evaluating Sentence Segmentation in Different Datasets of Neuropsychological Language Tests in Brazilian Portuguese.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019
NILC at ASSIN 2: Exploring Multilingual Approaches.
Proceedings of the ASSIN 2 Shared Task: Evaluating Semantic Textual Similarity and Textual Entailment in Portuguese co-located with XII Symposium in Information and Human Language Technology (STIL 2019), 2019


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