Analysis of speech production real-time MRI
(2018) In Computer Speech and Language 52. p.1-22- Abstract
Recent advances in real-time magnetic resonance imaging (RT-MRI) have made it possible to study the anatomy and dynamic motion of the vocal tract during speech production with great detail. The abundance of rich data on speech articulation provided by medical imaging techniques affords new opportunities for speech science, linguistics, clinical and technological research and application development, but also presents new challenges in audio–video data analysis and data modeling. We review techniques used in analysis of articulatory data acquired using RT-MRI, and assess the utility of different approaches for different types of data and research goals.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/f884a167-130d-400b-88ac-a11956db8004
- author
- Ramanarayanan, Vikram ; Tilsen, Sam ; Proctor, Michael ; Töger, Johannes LU ; Goldstein, Louis ; Nayak, Krishna S. and Narayanan, Shrikanth
- organization
- publishing date
- 2018-11-01
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Medical image processing, Real-time magnetic resonance imaging, Region of interest, Speech production, Speech science, Vocal tract
- in
- Computer Speech and Language
- volume
- 52
- pages
- 22 pages
- publisher
- Academic Press
- external identifiers
-
- scopus:85047091465
- ISSN
- 0885-2308
- DOI
- 10.1016/j.csl.2018.04.002
- language
- English
- LU publication?
- yes
- id
- f884a167-130d-400b-88ac-a11956db8004
- date added to LUP
- 2018-05-29 13:10:34
- date last changed
- 2022-04-25 07:35:57
@article{f884a167-130d-400b-88ac-a11956db8004, abstract = {{<p>Recent advances in real-time magnetic resonance imaging (RT-MRI) have made it possible to study the anatomy and dynamic motion of the vocal tract during speech production with great detail. The abundance of rich data on speech articulation provided by medical imaging techniques affords new opportunities for speech science, linguistics, clinical and technological research and application development, but also presents new challenges in audio–video data analysis and data modeling. We review techniques used in analysis of articulatory data acquired using RT-MRI, and assess the utility of different approaches for different types of data and research goals.</p>}}, author = {{Ramanarayanan, Vikram and Tilsen, Sam and Proctor, Michael and Töger, Johannes and Goldstein, Louis and Nayak, Krishna S. and Narayanan, Shrikanth}}, issn = {{0885-2308}}, keywords = {{Medical image processing; Real-time magnetic resonance imaging; Region of interest; Speech production; Speech science; Vocal tract}}, language = {{eng}}, month = {{11}}, pages = {{1--22}}, publisher = {{Academic Press}}, series = {{Computer Speech and Language}}, title = {{Analysis of speech production real-time MRI}}, url = {{http://dx.doi.org/10.1016/j.csl.2018.04.002}}, doi = {{10.1016/j.csl.2018.04.002}}, volume = {{52}}, year = {{2018}}, }