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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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02/02/2023
Combining Deep Neural Reranking and Unsupervised Extraction for Multi-Query Focused Summarization
The CrisisFACTS Track aims to tackle challenges such as multi-stream fac...
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11/21/2022
Enhancing Crisis-Related Tweet Classification with Entity-Masked Language Modeling and Multi-Task Learning
Social media has become an important information source for crisis manag...
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11/16/2022
Speaker Adaptation for End-To-End Speech Recognition Systems in Noisy Environments
We analyze the impact of speaker adaptation in end-to-end architectures ...
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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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06/17/2022
What can Speech and Language Tell us About the Working Alliance in Psychotherapy
We are interested in the problem of conversational analysis and its appl...
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06/13/2022
Automated Evaluation of Standardized Dementia Screening Tests
For dementia screening and monitoring, standardized tests play a key rol...
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06/13/2022
Toward Zero Oracle Word Error Rate on the Switchboard Benchmark
The "Switchboard benchmark" is a very well-known test set in automatic s...
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06/10/2022
Going Beyond the Cookie Theft Picture Test: Detecting Cognitive Impairments using Acoustic Features
Standardized tests play a crucial role in the detection of cognitive imp...
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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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05/13/2022
The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, Mosquitoes
The ACM Multimedia 2022 Computational Paralinguistics Challenge addresse...
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04/07/2022
Detecting Vocal Fatigue with Neural Embeddings
Vocal fatigue refers to the feeling of tiredness and weakness of voice d...
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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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12/13/2021
Detecting Emotion Carriers by Combining Acoustic and Lexical Representations
Personal narratives (PN) - spoken or written - are recollections of fact...
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06/15/2021
STAN: A stuttering therapy analysis helper
Stuttering is a complex speech disorder identified by repeti-tions, prol...
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07/05/2020
Offline Model Guard: Secure and Private ML on Mobile Devices
Performing machine learning tasks in mobile applications yields a challe...
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06/16/2020
Towards Automated Assessment of Stuttering and Stuttering Therapy
Stuttering is a complex speech disorder that can be identified by repeti...
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09/19/2019
A Comparison of Hybrid and End-to-End Models for Syllable Recognition
This paper presents a comparison of a traditional hybrid speech recognit...
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09/19/2019
