Analysis of speech production real-time MRI

Citation data:

Computer Speech & Language, ISSN: 0885-2308, Vol: 52, Page: 1-22

Publication Year:
2018
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DOI:
10.1016/j.csl.2018.04.002
Author(s):
Vikram Ramanarayanan; Sam Tilsen; Michael Proctor; Johannes Töger; Louis Goldstein; Krishna S. Nayak; Shrikanth Narayanan
Publisher(s):
Elsevier BV
Tags:
Computer Science; Mathematics
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review description
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.