29 citations · 29 across the 1 of their papers we have counts for
4 papers
A t-distribution based operator for enhancing out of distribution robustness of neural network classifiers
Niccolò Antonello, Philip N. Garner
Neural Network (NN) classifiers can assign extreme probabilities to samples that have not appeared during training (out-of-distribution samples) resulting in erroneous and unreliab…
A Bayesian Approach to Recurrence in Neural Networks
Philip N. Garner, Sibo Tong
We begin by reiterating that common neural network activation functions have simple Bayesian origins. In this spirit, we go on to show that Bayes's theorem also implies a simple re…
A Variational Prosody Model for Mapping the Context-Sensitive Variation of Functional Prosodic Prototypes
Branislav Gerazov, Gérard Bailly, Omar Mohammed +2
The quest for comprehensive generative models of intonation that link linguistic and paralinguistic functions to prosodic forms has been a longstanding challenge of speech communic…
Multilingual Training and Cross-lingual Adaptation on CTC-based Acoustic Model
Sibo Tong, Philip N. Garner, Hervé Bourlard
Multilingual models for Automatic Speech Recognition (ASR) are attractive as they have been shown to benefit from more training data, and better lend themselves to adaptation to un…