Helen L Bear | DeepAI

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∙ 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...

0 Helen L Bear, et al. ∙

∙ 10/09/2021

Visually Exploring Multi-Purpose Audio Data

We analyse multi-purpose audio using tools to visualise similarities wit...

0 David Heise, et al. ∙

∙ 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...

0 Arjun Pankajakshan, et al. ∙

∙ 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...

0 Arjun Pankajakshan, et al. ∙

∙ 05/02/2019

City classification from multiple real-world sound scenes

The majority of sound scene analysis work focuses on one of two clearly ...

0 Helen L Bear, et al. ∙

∙ 04/23/2019

Towards joint sound scene and polyphonic sound event recognition

Acoustic Scene Classification (ASC) and Sound Event Detection (SED) are ...

0 Helen L Bear, et al. ∙

∙ 11/15/2018

Audio-based identification of beehive states

The absence of the queen in a beehive is a very strong indicator of the ...

0 Inês Nolasco, et al. ∙

∙ 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...

0 Jake Burton, et al. ∙

∙ 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...

0 Helen L Bear, et al. ∙

∙ 09/14/2018

Visual Speech Language Models

Language models (LM) are very powerful in lipreading systems. Language m...

0 Helen L Bear, et al. ∙

∙ 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...

0 Helen L Bear, et al. ∙

∙ 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...

0 Helen L Bear, et al. ∙

∙ 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 ...

0 Kwanchiva Thangthai, et al. ∙

∙ 10/03/2017

Understanding the visual speech signal

For machines to lipread, or understand speech from lip movement, they de...

0 Helen L Bear, et al. ∙

∙ 10/03/2017

Visual gesture variability between talkers in continuous visual speech

Recent adoption of deep learning methods to the field of machine lipread...

0 Helen L Bear, et al. ∙

∙ 10/03/2017

Visual speech recognition: aligning terminologies for better understanding

We are at an exciting time for machine lipreading. Traditional research ...

0 Helen L Bear, et al. ∙

∙ 10/03/2017

Decoding visemes: improving machine lipreading (PhD thesis)

Machine lipreading (MLR) is speech recognition from visual cues and a ni...

0 Helen L Bear, et al. ∙

∙ 10/03/2017

Decoding visemes: improving machine lipreading

To undertake machine lip-reading, we try to recognise speech from a visu...

0 Helen L Bear, et al. ∙

∙ 10/03/2017

Finding phonemes: improving machine lip-reading

In machine lip-reading there is continued debate and research around the...

0 Helen L Bear, et al. ∙

∙ 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...

0 Helen L Bear, et al. ∙

∙ 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...

0 Helen L Bear, et al. ∙

∙ 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...

0 Helen L Bear, et al. ∙

∙ 10/03/2017

Resolution limits on visual speech recognition

Visual-only speech recognition is dependent upon a number of factors tha...

0 Helen L Bear, et al. ∙

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