most citedDysfluencies Seldom Come Alone -- Detection as a Multi-Label Problem

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

eess.AS2022★ 2 cited

Dysfluencies Seldom Come Alone -- Detection as a Multi-Label Problem

Sebastian P. Bayerl, Dominik Wagner, Florian Hönig +3

Specially adapted speech recognition models are necessary to handle stuttered speech. For these to be used in a targeted manner, stuttered speech must be reliably detected. Recent…

eess.AS2020

Comparison of user models based on GMM-UBM and i-vectors for speech, handwriting, and gait assessment of Parkinson's disease patients

J. C. Vasquez-Correa, T. Bocklet, J. R. Orozco-Arroyave +1

Parkinson's disease is a neurodegenerative disorder characterized by the presence of different motor impairments. Information from speech, handwriting, and gait signals have been c…