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08/16/2023
Classifying Dementia in the Presence of Depression: A Cross-Corpus Study
Automated dementia screening enables early detection and intervention, r...
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05/30/2023
A Stutter Seldom Comes Alone – Cross-Corpus Stuttering Detection as a Multi-label Problem
Most stuttering detection and classification research has viewed stutter...
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10/28/2022
Dysfluencies Seldom Come Alone – Detection as a Multi-Label Problem
Specially adapted speech recognition models are necessary to handle stut...
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10/28/2022
The Importance of Speech Stimuli for Pathologic Speech Classification
Current findings show that pre-trained wav2vec 2.0 models can be success...
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10/27/2022
Multi-class Detection of Pathological Speech with Latent Features: How does it perform on unseen data?
The detection of pathologies from speech features is usually defined as ...
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09/17/2022
Representation Learning Strategies to Model Pathological Speech: Effect of Multiple Spectral Resolutions
This paper considers a representation learning strategy to model speech ...
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06/07/2022
The Influence of Dataset Partitioning on Dysfluency Detection Systems
This paper empirically investigates the influence of different data spli...
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04/07/2022
Detecting Dysfluencies in Stuttering Therapy Using wav2vec 2.0
Stuttering is a varied speech disorder that harms an individual's commun...
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03/10/2022
KSoF: The Kassel State of Fluency Dataset – A Therapy Centered Dataset of Stuttering
Stuttering is a complex speech disorder that negatively affects an indiv...
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01/15/2022
Common Phone: A Multilingual Dataset for Robust Acoustic Modelling
Current state of the art acoustic models can easily comprise more than 1...
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12/21/2021