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Annotation of Valence Unfolding in Spoken Personal Narratives
In this work, we annotate a corpus of spoken personal narratives, with the emotion valence using discrete values.
A Survey of Music Generation in the Context of Interaction
In recent years, machine learning, and in particular generative adversarial neural networks (GANs) and attention-based neural networks (transformers), have been successfully used to compose and generate music, both melodies and polyphonic pieces.
Classifying Dementia in the Presence of Depression: A Cross-Corpus Study
Automated dementia screening enables early detection and intervention, reducing costs to healthcare systems and increasing quality of life for those affected.
Influence of Utterance and Speaker Characteristics on the Classification of Children with Cleft Lip and Palate
Recent findings show that pre-trained wav2vec 2. 0 models are reliable feature extractors for various speaker characteristics classification tasks.
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 a binary classification task with one class representing a specific pathology and the other class representing healthy speech.
Automated Evaluation of Standardized Dementia Screening Tests
For both SKT and CERAD-NB, we observe high to perfect correlations using manual transcripts; for certain tasks with lower correlation, the automatic scoring is stricter than the human reference since it is limited to the audio.
Going Beyond the Cookie Theft Picture Test: Detecting Cognitive Impairments using Acoustic Features
Standardized tests play a crucial role in the detection of cognitive impairment.
