6 citations · 7 across the 3 of their papers we have counts for
3 papers
Probing Statistical Representations For End-To-End ASR
Anna Ollerenshaw, Md Asif Jalal, Thomas Hain
End-to-End automatic speech recognition (ASR) models aim to learn a generalised speech representation to perform recognition. In this domain there is little research to analyse int…
Insights on Neural Representations for End-to-End Speech Recognition
Anna Ollerenshaw, Md Asif Jalal, Thomas Hain
End-to-end automatic speech recognition (ASR) models aim to learn a generalised speech representation. However, there are limited tools available to understand the internal functio…
Investigating Deep Neural Structures and their Interpretability in the Domain of Voice Conversion
Samuel J. Broughton, Md Asif Jalal, Roger K. Moore
Generative Adversarial Networks (GANs) are machine learning networks based around creating synthetic data. Voice Conversion (VC) is a subset of voice translation that involves tran…