The Influence of Dataset Partitioning on Dysfluency Detection Systems. (arXiv:2206.03400v1 [eess.AS])

This paper empirically investigates the influence of different data splits
and splitting strategies on the performance of dysfluency detection systems.
For this, we perform experiments using wav2vec 2.0 models with a classification
head as well as support vector machines (SVM) in conjunction with the features
extracted from the wav2vec 2.0 model to detect dysfluencies. We train and
evaluate the systems with different non-speaker-exclusive and speaker-exclusive
splits of the Stuttering Events in Podcasts (SEP-28k) dataset to shed some
light on the …

arxiv dataset detection influence partitioning systems