Piotr Żelasko

Adversarial Attacks and Defenses for Speech Recognition Systems

2021 · arXiv (Cornell University)

The ubiquitous presence of machine learning systems in our lives necessitates research into their vulnerabilities and appropriate countermeasures. In particular, we investigate the effectiveness of adversarial attacks and defenses against automatic speech recognition (ASR) systems. …

Segmental Contrastive Predictive Coding for Unsupervised Word Segmentation

2021

Automatic detection of phoneme or word-like units is one of the core objectives in zero-resource speech processing. Recent attempts employ self-supervised training methods, such as contrastive predictive coding (CPC), where the next frame is predicted …

EMMeTT: Efficient Multimodal Machine Translation Training

2025

A rising interest in the modality extension of foundation language models warrants discussion on the most effective, and efficient, multimodal training approach. This work focuses on neural machine translation (NMT) and proposes a joint multimodal …