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M. Schuster

3 papers hereh-index 292.5k citations119 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.SD1
  • eess.AS1
same name
  • M. Schuster — 9 papers, h 19
  • M. Schuster — 8 papers, h 7
  • M. Schuster — 7 papers, h 9
  • M. Schuster — 7 papers, h 6
  • M. Schuster — 5 papers, h 4
  • M. Schuster — 4 papers, h 14

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedConvolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages

42 citations · 58 across the 3 of their papers we have counts for

collaborators

3 papers

cs.SD2022★ 15 cited

The effect of speech pathology on automatic speaker verification -- a large-scale study

Soroosh Tayebi Arasteh, Tobias Weise, Maria Schuster +3

Navigating the challenges of data-driven speech processing, one of the primary hurdles is accessing reliable pathological speech data. While public datasets appear to offer solutio…

eess.AS2022★ 1 cited

Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment

Tobias Weise, Philipp Klumpp, Kubilay Can Demir +5

Speech intelligibility assessment plays an important role in the therapy of patients suffering from pathological speech disorders. Automatic and objective measures are desirable to…

cs.LG2020★ 42 cited

Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages

J. C. Vásquez-Correa, T. Arias-Vergara, C. D. Rios-Urrego +4

Parkinson's disease patients develop different speech impairments that affect their communication capabilities. The automatic assessment of the speech of the patients allows the de…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.