31 citations · 122 across the 37 of their papers we have counts for
11 papers · 1 filter
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…
Dynamic Kernels and Channel Attention for Low Resource Speaker Verification
Anna Ollerenshaw, Md Asif Jalal, Thomas Hain
State-of-the-art speaker verification frameworks have typically focused on developing models with increasingly deeper (more layers) and wider (number of channels) models to improve…
Deformable Temporal Convolutional Networks for Monaural Noisy Reverberant Speech Separation
William Ravenscroft, Stefan Goetze, Thomas Hain
Speech separation models are used for isolating individual speakers in many speech processing applications. Deep learning models have been shown to lead to state-of-the-art (SOTA)…
Non-Linear Pairwise Language Mappings for Low-Resource Multilingual Acoustic Model Fusion
Muhammad Umar Farooq, Darshan Adiga Haniya Narayana, Thomas Hain
Multilingual speech recognition has drawn significant attention as an effective way to compensate data scarcity for low-resource languages. End-to-end (e2e) modelling is preferred…
Investigating the Impact of Cross-lingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition
Muhammad Umar Farooq, Thomas Hain
Multilingual automatic speech recognition (ASR) systems mostly benefit low resource languages but suffer degradation in performance across several languages relative to their monol…
A cross-corpus study on speech emotion recognition
Rosanna Milner, Md Asif Jalal, Raymond W. M. Ng +1
For speech emotion datasets, it has been difficult to acquire large quantities of reliable data and acted emotions may be over the top compared to less expressive emotions displaye…