Najim Dehak

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 …

Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification

2022 · arXiv (Cornell University)

Speech systems developed for a particular choice of acoustic domain and sampling frequency do not translate easily to others. The usual practice is to learn domain adaptation and bandwidth extension models independently. Contrary to this, …

Deep Neural Network Approaches to Speaker and Language Recognition

2015 · IEEE Signal Processing Letters

The impressive gains in performance obtained using deep neural networks (DNNs) for automatic speech recognition (ASR) have motivated the application of DNNs to other speech technologies such as speaker recognition (SR) and language recognition (LR). …