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Thesis

Automatic analysis of magnetic resonance images of speech articulation

Abstract:

Magnetic resonance imaging (MRI) technology has facilitated capturing the dynamics of speech production at fine temporal and spatial resolutions, thus generating substantial quantities of images to be analysed. Manual processing of large MRI databases is labour intensive and time consuming. Hence, to study articulation on large scale, techniques for automatic feature extraction are needed.

This thesis investigates approaches for automatic information extraction from an MRI database...

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Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Role:
Author
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Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Role:
Author

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Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Role:
Supervisor
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Funding agency for:
Raeesy, Z
Publication date:
2013
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
UUID:
uuid:ffa6d290-6920-4204-8d65-e4f2f09278c5
Local pid:
ora:9801
Deposit date:
2015-01-23

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