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Creators/Authors contains: "Hufnagel, S"

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Marking prominence: Towards cue-based annotation of prosodic prominence

Brugos, A; Breen, M; Veilleux, N; Barnes, J; Shattuck-Hufnagel, S (August 2023, Guarant International)
Skarnitzl, Radek; Volín; Jan (Ed.)
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The LaMIT database: a read speech corpus for acoustic studies of the Italian language toward lexical access based on the detection of landmarks and other acoustic cues to features

https://doi.org/10.1016/j.dib.2022.108275

Di Benedetto, Maria-Gabriella; Shattuck-Hufnagel, S.; Choi, J.-Y.; De Nardis, L.; Arango, J.; Chan, I.; DeCaprio, A.; Budoni, S. (January 2022, Data in brief)

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Induced Hyperthermia Using Synthesized Iron Oxide Nanoparticles

Hernandez, G; Heersema, L; Hufnagel, S; Cui, Z; Smyth, H (January 2018, Biomedical Engineering Society annual meeting)

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Toward the automatic detection of manually labeled irregular pitch periods

Murton, O; Choi, J-Y; Mehta, D; Shattuck-Hufnagel, S (January 2018, The Journal of the Acoustical Society of America)

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Towards the identification of Idiopathic Parkinson's Disease from the speech. New articulatory kinetic biomarkers

Godino-Llorente, JI; Shattuck-Hufnagel, S; Choi, JY; Moro-Velazquez, L; Gomez-Garcia, A (December 2017, PloS one)

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USE OF ACOUSTIC LANDMARKS AND GMM-UBM BLEND IN THE AUTOMATIC DETECTION OF PARKINSON'S DISEASE

Moro-Velazquez, L; Godino-Llorente, JI; Gomez-Garcia, JA; Villalba, J; Shattuck-Hufnagel, S; Dehak, N (January 2017, 10th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications)

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