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Expert profile: Simon Arnfield [ Dr ]
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Simon Arnfield [ Dr ] |
| Name |
Arnfield, Dr Simon |
| Job Title | Senior Research Fellow |
| Organisation |
University of Reading |
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| City | |
| Country | United Kingdom |
| Phone | + |
| Fax | + |
| Mobile | + |
| Email |
s.c.arnfield_(on)_rdg.ac.uk
[@ replaced for spam protection] |
| Organisation URL |
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| Personal URL |
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| Languages | English |
| Specialism |
Speechtechnology:
Acoustic Phonetics
Adaptive Speech Recognition
Artificial Neural Networks
Audio Signal Processing
Automated Natural Language Speech
Computational Linguistics
Computer Assisted Language Learning
Corpora and Dialogue Annotations
Corpus statistics
Data Corpus Collection
Databases of Emotional Speech
Digital Speech Processing
Discourse analysis
Emotion in Speech
general linguistics
Hidden Markov Models
Information Retrieval
Large speech corpora
Machine Learning Algorithms
Mathematical Linguistics
Natural Language Semantics
Neural Networks
NLP
Pragmatics
Prosody
Prosody (Linguistic Description of)
Signal Analysis
Signal Processing
Speech Acoustics
Speech Analysis
Speech Coding
Speech Databases for Automatic Speech/Speaker Recognition
Speech Synthesis
Spoken Language Resources and Evaluation
Statistical Language Modeling and Analysis |
| Photograph | Description or CV |
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Description: I am currently a Senior Research Fellow at the University
of Reading in the School of Linguistics. My main role is research into
written and spoken databases and corpora. I have been involved in a
number of projects on the creation of new corpora including the
Emotion in Speech project, the Babel project, and the Marsec project.
I worked on the Reading Electropalatograph to incorporate it into
Entropic's Waves+ package and developed an interface to allow EPG data
to be captured on a Sparc workstation. This formed part of the
development of our state-of-the-art multi-channel physiological data
acquisition system. I am also engaged upon a number of other research
topics involved with speech corpora and database analysis with
particular emphasis on prosody and suprasegmental features of speech.
Recent past research has included articulatory tracking of lips; work
on making use of pronouncing dictionaries for speech synthesis and
recognition; making use of genetic algorithms for synthesis of
intonation; analysis of pitch and jitter; case studies of EPG speech
therapy; and possible developments for new systems for tongue movement
tracking. Current research projects include development of a database
of small group classroom discourse for anlysis of meta-language
learning skills in children; digitsation of and cross referencing of
multi-language medieaval manuscripts; articulatory control development
in children; advanced online phonetics learning development; speech
synthesis of intonation by analogy.
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