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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.
A Stutter Seldom Comes Alone -- Cross-Corpus Stuttering Detection as a Multi-label Problem
Most stuttering detection and classification research has viewed stuttering as a multi-class classification problem or a binary detection task for each dysfluency type; however, this does not match the nature of stuttering, in which one dysfluency seldom comes alone but rather co-occurs with others.
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.
Nonwords Pronunciation Classification in Language Development Tests for Preschool Children
In this work, the task is to determine whether spoken nonwords have been uttered correctly.
Detecting Vocal Fatigue with Neural Embeddings
Vocal fatigue refers to the feeling of tiredness and weakness of voice due to extended utilization.
