Analysis of speech production real-time MRI

Vikram Ramanarayanan; Sam Tilsen; Michael Proctor; Johannes Töger; Louis Goldstein; Krishna S. Nayak; Shrikanth Narayanan

doi:10.1016/j.csl.2018.04.002

Analysis of speech production real-time MRI

Vikram Ramanarayanan^*, Sam Tilsen, Michael Proctor, Johannes Töger, Louis Goldstein, Krishna S. Nayak, Shrikanth Narayanan

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

54 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1-22
Number of pages	22
Journal	Computer Speech and Language
Volume	52
DOIs	https://doi.org/10.1016/j.csl.2018.04.002
Publication status	Published - Nov 2018

Keywords

real-time magnetic resonance imaging
speech production
region of interest
vocal tract
medical image processing
speech science

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10.1016/j.csl.2018.04.002

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title = "Analysis of speech production real-time MRI",

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.",

keywords = "real-time magnetic resonance imaging, speech production, region of interest, vocal tract, medical image processing, speech science",

author = "Vikram Ramanarayanan and Sam Tilsen and Michael Proctor and Johannes T{\"o}ger and Louis Goldstein and Nayak, \{Krishna S.\} and Shrikanth Narayanan",

year = "2018",

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doi = "10.1016/j.csl.2018.04.002",

language = "English",

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T1 - Analysis of speech production real-time MRI

AU - Ramanarayanan, Vikram

AU - Tilsen, Sam

AU - Proctor, Michael

AU - Töger, Johannes

AU - Goldstein, Louis

AU - Nayak, Krishna S.

AU - Narayanan, Shrikanth

PY - 2018/11

Y1 - 2018/11

N2 - 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.

AB - 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.

KW - real-time magnetic resonance imaging

KW - speech production

KW - region of interest

KW - vocal tract

KW - medical image processing

KW - speech science

UR - https://www.scopus.com/pages/publications/85047091465

UR - http://purl.org/au-research/grants/arc/DE150100318

U2 - 10.1016/j.csl.2018.04.002

DO - 10.1016/j.csl.2018.04.002

M3 - Review article

AN - SCOPUS:85047091465

SN - 0885-2308

VL - 52

SP - 1

EP - 22

JO - Computer Speech and Language

JF - Computer Speech and Language

ER -

Analysis of speech production real-time MRI

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Keywords

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