8 citations · 14 across the 5 of their papers we have counts for
5 papers
A Multimodal Approach to Device-Directed Speech Detection with Large Language Models
Dominik Wagner, Alexander Churchill, Siddharth Sigtia +4
Interactions with virtual assistants typically start with a predefined trigger phrase followed by the user command. To make interactions with the assistant more intuitive, we explo…
Diagonalisation SGD: Fast & Convergent SGD for Non-Differentiable Models via Reparameterisation and Smoothing
Dominik Wagner, Basim Khajwal, C. -H. Luke Ong
It is well-known that the reparameterisation gradient estimator, which exhibits low variance in practice, is biased for non-differentiable models. This may compromise correctness o…
A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problem
Sebastian P. Bayerl, Dominik Wagner, Ilja Baumann +4
Most stuttering detection and classification research has viewed stuttering as a multi-class classification problem or a binary detection task for each dysfluency type; however, th…
Generative Models for Improved Naturalness, Intelligibility, and Voicing of Whispered Speech
Dominik Wagner, Sebastian P. Bayerl, Hector A. Cordourier Maruri +1
This work adapts two recent architectures of generative models and evaluates their effectiveness for the conversion of whispered speech to normal speech. We incorporate the normal…
Fast and Correct Gradient-Based Optimisation for Probabilistic Programming via Smoothing
Basim Khajwal, C. -H. Luke Ong, Dominik Wagner
We study the foundations of variational inference, which frames posterior inference as an optimisation problem, for probabilistic programming. The dominant approach for optimisatio…