research
∙
10/09/2021
An evaluation of data augmentation methods for sound scene geotagging
Sound scene geotagging is a new topic of research which has evolved from...
share
research
∙
10/09/2021
Visually Exploring Multi-Purpose Audio Data
We analyse multi-purpose audio using tools to visualise similarities wit...
research
∙
05/13/2020
Memory Controlled Sequential Self Attention for Sound Recognition
In this paper we investigate the importance of the extent of memory in s...
research
∙
07/11/2019
Polyphonic Sound Event and Sound Activity Detection: A Multi-task approach
Polyphonic Sound Event Detection (SED) in real-world recordings is a cha...
research
∙
05/02/2019
City classification from multiple real-world sound scenes
The majority of sound scene analysis work focuses on one of two clearly ...
research
∙
04/23/2019
Towards joint sound scene and polyphonic sound event recognition
Acoustic Scene Classification (ASC) and Sound Event Detection (SED) are ...
research
∙
11/15/2018
Audio-based identification of beehive states
The absence of the queen in a beehive is a very strong indicator of the ...
research
∙
10/24/2018
The speaker-independent lipreading play-off; a survey of lipreading machines
Lipreading is a difficult gesture classification task. One problem in co...
research
∙
09/26/2018
An extensible cluster-graph taxonomy for open set sound scene analysis
We present a new extensible and divisible taxonomy for open set sound sc...
research
∙
09/14/2018
Visual Speech Language Models
Language models (LM) are very powerful in lipreading systems. Language m...
research
∙
05/08/2018
Comparing heterogeneous visual gestures for measuring the diversity of visual speech signals
Visual lip gestures observed whilst lipreading have a few working defini...
research
∙
05/08/2018
Phoneme-to-viseme mappings: the good, the bad, and the ugly
Visemes are the visual equivalent of phonemes. Although not precisely de...
research
∙
05/08/2018
Comparing phonemes and visemes with DNN-based lipreading
There is debate if phoneme or viseme units are the most effective for a ...
research
∙
10/03/2017
Understanding the visual speech signal
For machines to lipread, or understand speech from lip movement, they de...
research
∙
10/03/2017
Visual gesture variability between talkers in continuous visual speech
Recent adoption of deep learning methods to the field of machine lipread...
research
∙
10/03/2017
Visual speech recognition: aligning terminologies for better understanding
We are at an exciting time for machine lipreading. Traditional research ...
research
∙
10/03/2017
Decoding visemes: improving machine lipreading (PhD thesis)
Machine lipreading (MLR) is speech recognition from visual cues and a ni...
research
∙
10/03/2017
Decoding visemes: improving machine lipreading
To undertake machine lip-reading, we try to recognise speech from a visu...
research
∙
10/03/2017
Finding phonemes: improving machine lip-reading
In machine lip-reading there is continued debate and research around the...
research
∙
10/03/2017
Speaker-independent machine lip-reading with speaker-dependent viseme classifiers
In machine lip-reading, which is identification of speech from visual-on...
research
∙
10/03/2017
Which phoneme-to-viseme maps best improve visual-only computer lip-reading?
A critical assumption of all current visual speech recognition systems i...
research
∙
10/03/2017
Some observations on computer lip-reading: moving from the dream to the reality
In the quest for greater computer lip-reading performance there are a nu...
research
∙
10/03/2017
