Monaural speech enhancement through deep wave-U-net. - Heitor R. Guimarães; Hitoshi Nagano; Diego W. Silva (Expert Syst. Appl., 2020)

Optimizing Time Domain Fully Convolutional Networks for 3D Speech Enhancement in a Reverberant Environment Using Perceptual Losses. - Heitor R. Guimarães; Wesley Beccaro; Miguel Arjona Ramírez (MLSP, 2021)

Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement. - Heitor R. Guimarães; Arthur Pimentel; Anderson R. Avila; Mehdi Rezagholizadeh; Tiago H. Falk (CoRR, 2022)

Robustdistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness. - Heitor R. Guimarães; Arthur Pimentel; Anderson R. Avila; Mehdi Rezagholizadeh; Boxing Chen; Tiago H. Falk (ICASSP, 2023)

Assessing the Vulnerability of Self-Supervised Speech Representations for Keyword Spotting Under White-Box Adversarial Attacks. - Heitor R. Guimarães; Yi Zhu 011; Orson Mengara; Anderson R. Avila; Tiago H. Falk (SMC, 2023)

An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild" Edge Applications. - Heitor R. Guimarães; Arthur Pimentel; Anderson R. Avila; Mehdi Rezagholizadeh; Tiago H. Falk (CoRR, 2023)

On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications. - Vamsikrishna Chemudupati; Marzieh S. Tahaei; Heitor R. Guimarães; Arthur Pimentel; Anderson R. Avila; Mehdi Rezagholizadeh; Boxing Chen; Tiago H. Falk (CoRR, 2023)

On the Impact of Quantization and Pruning of Self-Supervised Speech Models for Downstream Speech Recognition Tasks "In-the-Wild". - Arthur Pimentel; Heitor R. Guimarães; Anderson R. Avila; Mehdi Rezagholizadeh; Tiago H. Falk (CoRR, 2023)

MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees. - Yi Zhu 011; Mahsa Abdollahi; Ségolène Maucourt; Nico Coallier; Heitor R. Guimarães; Pierre Giovenazzo; Tiago H. Falk (CoRR, 2023)

MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees. - Yi Zhu 011; Mahsa Abdollahi; Ségolène Maucourt; Nico Coallier; Heitor R. Guimarães; Pierre Giovenazzo; Tiago H. Falk (Zenodo, 2023)

VIC-KD: Variance-Invariance-Covariance Knowledge Distillation to Make Keyword Spotting More Robust Against Adversarial Attacks. - Heitor R. Guimarães; Arthur Pimentel; Anderson R. Avila; Tiago H. Falk (ICASSP, 2024)

Efficient Audio Deepfake Detection using WavLM with Early Exiting. - Arthur Pimentel; Yi Zhu 011; Heitor R. Guimarães; Tiago H. Falk (WIFS, 2024)

An Efficient End-to-End Approach to Noise Invariant Speech Features via Multi-Task Learning. - Heitor R. Guimarães; Arthur Pimentel; Anderson R. Avila; Mehdi Rezagholizadeh; Boxing Chen; Tiago H. Falk (CoRR, 2024)

UrBAN: Urban Beehive Acoustics and PheNotyping Dataset. - Mahsa Abdollahi; Yi Zhu 011; Heitor R. Guimarães; Nico Coallier; Ségolène Maucourt; Pierre Giovenazzo; Tiago H. Falk (CoRR, 2024)

Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks. - Chien-yu Huang; Wei-Chih Chen; Shu-Wen Yang; Andy T. Liu; Chen-An Li; Yu-Xiang Lin; Wei-Cheng Tseng; Anuj Diwan; Yi-Jen Shih; Jiatong Shi; William Chen; Xuanjun Chen; et al. (CoRR, 2024)

Analysis of Oral Exams With Speaker Diarization and Speech Emotion Recognition: A Case Study. - Wesley Beccaro; Miguel Arjona Ramírez; William Liaw; Heitor R. Guimarães (IEEE Trans. Educ., 2024)

MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees. - Yi Zhu 011; Mahsa Abdollahi; Ségolène Maucourt; Nico Coallier; Heitor R. Guimarães; Pierre Giovenazzo; Tiago H. Falk (Zenodo, 2024)

DiTSE: High-Fidelity Generative Speech Enhancement via Latent Diffusion Transformers. - Heitor R. Guimarães; Jiaqi Su; Rithesh Kumar; Tiago H. Falk; Zeyu Jin (CoRR, 2025)