Deep learning

Analyzing the potential of pre-trained embeddings for audio classification tasks

In the context of deep learning, the availability of large amounts of training data can play a critical role in a model's performance. Transfer learning has shown to be a powerful method in which models are first pre-trained for a task where abundant …

ACMUS - Advancing Computational Musicology: Semi-supervised and Unsupervised Segmentation and Annotation of Musical Collections

This extended abstract describes the ACMus project, including its scope, partners, and current results.