Heitor R. Guimarães
Orcid: 0000-0001-9929-9871
According to our database1,
Heitor R. Guimarães
authored at least 18 papers
between 2020 and 2025.
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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
An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning.
CoRR, 2024
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