2 citations · 4 across the 8 of their papers we have counts for
4 papers · 1 filter
LISE : Listenable Interpretable Speaker Embeddings
Xiaoliang Wu, Chongxin Gan, Ke Liu +2
Deep neural network-based automatic speaker verification (ASV) systems achieve impressive performance but their embedding representations remain opaque, lacking a structured and pe…
Explainable Attribute-Based Speaker Verification
Xiaoliang Wu, Chau Luu, Peter Bell +1
This paper proposes a fully explainable approach to speaker verification (SV), a task that fundamentally relies on individual speaker characteristics. The opaque use of speaker att…
Explanations for Automatic Speech Recognition
Xiaoliang Wu, Peter Bell, Ajitha Rajan
We address quality assessment for neural network based ASR by providing explanations that help increase our understanding of the system and ultimately help build trust in the syste…
Catch Me If You Can: Blackbox Adversarial Attacks on Automatic Speech Recognition using Frequency Masking
Xiaoliang Wu, Ajitha Rajan
Automatic speech recognition (ASR) models are prevalent, particularly in applications for voice navigation and voice control of domestic appliances. The computational core of ASRs…