Lucas Gris

Orcid: 0000-0002-2099-5004

According to our database1, Lucas Gris authored at least 15 papers between 2021 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

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
No Saved Kaleidosope: an 100% Jitted Neural Network Coding Language with Pythonic Syntax.
CoRR, 2024

Automatic Speech-to-Speech Translation of Educational Videos Using SeamlessM4T and Its Use for Future VR Applications.
Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

Enhancing Robustness in Audio Deepfake Detection for VR Applications using data augmentation and Mixup.
Proceedings of the 26th Symposium on Virtual and Augmented Reality, 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

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

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

Bringing NURC/SP to Digital Life: the Role of Open-source Automatic Speech Recognition Models.
CoRR, 2022

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


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


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