Heitor R. Guimarães — accepted AI-conference papers

2024

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 2024accepted

Keyword spotting (KWS) refers to the task of identifying a set of predefined words in audio streams. With the advances seen recently with deep neural networks, it has become a popular technology to activate and control small devices, such as voice assistants. Relying on such models for edge devices,…

Cited by 0 Source ↗Scholar ↗

2023

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 2023accepted

Self-supervised speech pre-training enables deep neural network models to capture meaningful and disentangled factors from raw waveform signals. The learned universal speech representations can then be used across numerous down-stream tasks. These representations, however, are sensitive to distribut…

Cited by 15 Source ↗Scholar ↗