TY - GEN
T1 - Acoustic indicators of speech motor coordination in adults with and without traumatic brain injury
AU - Talkar, Tanya
AU - Solomon, Nancy Pear
AU - Brungart, Douglas S.
AU - Kuchinsky, Stefanie E.
AU - Eitel, Megan M.
AU - Lippa, Sara M.
AU - Brickell, Tracey A.
AU - French, Louis M.
AU - Lange, Rael T.
AU - Quatieri, Thomas F.
N1 - Publisher Copyright:
Copyright © 2021 ISCA.
PY - 2021
Y1 - 2021
N2 - A traumatic brain injury (TBI) can lead to various long-term effects on memory, attention, and mood, as well as the occurrence of headaches, speech, and hearing problems. There is a need to better understand the long-term effects of a TBI for objective tracking of an individual's recovery, which could be used to determine intervention trajectories. This study utilizes acoustic features derived from recordings of speech tasks completed by active-duty service members and veterans (SMVs) enrolled in the Defense and Veterans Brain Injury (DVBIC)/Traumatic Brain Injury Center of Excellence (TBICoE) 15-Year Longitudinal TBI Study. We hypothesize that the individuals diagnosed with moderate to severe TBI would demonstrate motor speech impairments through decreased coordination of the speech production subsystems as compared to individuals with no history of TBI. Speech motor coordination is measured through correlations of acoustic feature time series representing speech subsystems. Eigenspectra derived from these correlations are utilized in machine learning models to discriminate between the two groups. The fusion of correlation features derived from the recordings achieves an AUC of 0.78. This suggests that residual motor impairments from moderate to severe TBI could be detectable through objective measures of speech motor coordination.
AB - A traumatic brain injury (TBI) can lead to various long-term effects on memory, attention, and mood, as well as the occurrence of headaches, speech, and hearing problems. There is a need to better understand the long-term effects of a TBI for objective tracking of an individual's recovery, which could be used to determine intervention trajectories. This study utilizes acoustic features derived from recordings of speech tasks completed by active-duty service members and veterans (SMVs) enrolled in the Defense and Veterans Brain Injury (DVBIC)/Traumatic Brain Injury Center of Excellence (TBICoE) 15-Year Longitudinal TBI Study. We hypothesize that the individuals diagnosed with moderate to severe TBI would demonstrate motor speech impairments through decreased coordination of the speech production subsystems as compared to individuals with no history of TBI. Speech motor coordination is measured through correlations of acoustic feature time series representing speech subsystems. Eigenspectra derived from these correlations are utilized in machine learning models to discriminate between the two groups. The fusion of correlation features derived from the recordings achieves an AUC of 0.78. This suggests that residual motor impairments from moderate to severe TBI could be detectable through objective measures of speech motor coordination.
KW - Acoustic analysis
KW - Machine learning
KW - Speech motor coordination
KW - Traumatic brain injury
UR - http://www.scopus.com/inward/record.url?scp=85119287668&partnerID=8YFLogxK
U2 - 10.21437/Interspeech.2021-1581
DO - 10.21437/Interspeech.2021-1581
M3 - Conference contribution
AN - SCOPUS:85119287668
T3 - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
SP - 426
EP - 430
BT - 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021
PB - International Speech Communication Association
T2 - 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021
Y2 - 30 August 2021 through 3 September 2021
ER -