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A path signature approach for speech emotion recognition

Abstract:

Automatic speech emotion recognition (SER) remains a difficult task within human-computer interaction, despite increasing interest in the research community. One key challenge is how to effectively integrate short-term characterisation of speech segments with long-term information such as temporal variations. Motivated by the numerical approximation theory of stochastic differential equations (SDEs), we propose the novel use of path signatures. The latter provide a pathwise definition to solv...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Role:
Author
ORCID:
0000-0002-9972-2809
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Oxford college:
St Cross College
Role:
Author
ORCID:
0000-0001-9276-2720
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Publisher:
International Speech Communication Association Publisher's website
Pages:
1661-1665
Host title:
Proceedings of the Annual Conference of the International Speech Communication Association, Interspeech 2019
Publication date:
2019-09-15
Acceptance date:
2019-06-17
Event title:
Interspeech 2019
Event location:
Graz, Austria
Event website:
https://www.interspeech2019.org/
Event start date:
2019-09-15T00:00:00Z
Event end date:
2019-09-19T00:00:00Z
DOI:
ISSN:
2308-457X
Language:
English
Keywords:
Pubs id:
1073987
Local pid:
pubs:1073987
Deposit date:
2020-03-30

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