9 citations · 10 across the 4 of their papers we have counts for
4 papers
Advancing automatic speech recognition using feature fusion with self-supervised learning features: A case study on Fearless Steps Apollo corpus
Szu-Jui Chen, John H. L. Hansen
Using self-supervised learning (SSL) models has significantly improved performance for downstream speech tasks, surpassing the capabilities of traditional hand-crafted features. Th…
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples
Zhenyu Wang, John H. L. Hansen
Advances in automatic speaker verification (ASV) promote research into the formulation of spoofing detection systems for real-world applications. The performance of ASV systems can…
Advanced accent/dialect identification and accentedness assessment with multi-embedding models and automatic speech recognition
Shahram Ghorbani, John H. L. Hansen
Accurately classifying accents and assessing accentedness in non-native speakers are both challenging tasks due to the complexity and diversity of accent and dialect variations. In…
Fearless Steps Challenge Phase-1 Evaluation Plan
Aditya Joglekar, John H. L. Hansen
The Fearless Steps Challenge 2019 Phase-1 (FSC-P1) is the inaugural Challenge of the Fearless Steps Initiative hosted by the Center for Robust Speech Systems (CRSS) at the Universi…