2 citations · 2 across the 4 of their papers we have counts for
5 papers
An investigation of modularity for noise robustness in conformer-based ASR
Louise Coppieters de Gibson, Philip N. Garner, Pierre-Edouard Honnet
Whilst state of the art automatic speech recognition (ASR) can perform well, it still degrades when exposed to acoustic environments that differ from those used when training the m…
An investigation into the adaptability of a diffusion-based TTS model
Haolin Chen, Philip N. Garner
Given the recent success of diffusion in producing natural-sounding synthetic speech, we investigate how diffusion can be used in speaker adaptive TTS. Taking cues from more tradit…
Low-Level Physiological Implications of End-to-End Learning of Speech Recognition
Louise Coppieters de Gibson, Philip N. Garner
Current speech recognition architectures perform very well from the point of view of machine learning, hence user interaction. This suggests that they are emulating the human biolo…
Bayesian Recurrent Units and the Forward-Backward Algorithm
Alexandre Bittar, Philip N. Garner
Using Bayes's theorem, we derive a unit-wise recurrence as well as a backward recursion similar to the forward-backward algorithm. The resulting Bayesian recurrent units can be int…
Ad Hoc Microphone Array Calibration: Euclidean Distance Matrix Completion Algorithm and Theoretical Guarantees
Mohammad J. Taghizadeh, Reza Parhizkar, Philip N. Garner +2
This paper addresses the problem of ad hoc microphone array calibration where only partial information about the distances between microphones is available. We construct a matrix c…