Heitor R. Guimarães

Orcid: 0000-0001-9929-9871

According to our database1, Heitor R. Guimarães authored at least 18 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
DiTSE: High-Fidelity Generative Speech Enhancement via Latent Diffusion Transformers.
CoRR, April, 2025

2024
MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees.
Dataset, May, 2024

Analysis of Oral Exams With Speaker Diarization and Speech Emotion Recognition: A Case Study.
IEEE Trans. Educ., February, 2024

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks.
CoRR, 2024

UrBAN: Urban Beehive Acoustics and PheNotyping Dataset.
CoRR, 2024

An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning.
CoRR, 2024

Efficient Audio Deepfake Detection using WavLM with Early Exiting.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2024

VIC-KD: Variance-Invariance-Covariance Knowledge Distillation to Make Keyword Spotting More Robust Against Adversarial Attacks.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees.
Dataset, November, 2023

MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees.
CoRR, 2023

On the Impact of Quantization and Pruning of Self-Supervised Speech Models for Downstream Speech Recognition Tasks "In-the-Wild".
CoRR, 2023

On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications.
CoRR, 2023

An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild" Edge Applications.
CoRR, 2023

Assessing the Vulnerability of Self-Supervised Speech Representations for Keyword Spotting Under White-Box Adversarial Attacks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Robustdistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement.
CoRR, 2022

2021
Optimizing Time Domain Fully Convolutional Networks for 3D Speech Enhancement in a Reverberant Environment Using Perceptual Losses.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020
Monaural speech enhancement through deep wave-U-net.
Expert Syst. Appl., 2020


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