Expert profile: Simon Arnfield [ Dr ]

[ ID = 0655 ] Simon Arnfield [ Dr ] 
Name Arnfield, Dr Simon
Job Title Senior Research Fellow 
Organisation University of Reading 
Postal Code  
Country United Kingdom 
Email s.c.arnfield_(on)_rdg.ac.uk [@ replaced for spam protection]
Organisation URL  
Personal URL  
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
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 
PhotographDescription or CV
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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