Ensemble size classification

Ensemble size classification in Colombian Andean string music recordings

Extended version of our CMMR2019 paper published in the Springer Lecture Notes in Computer Science book series (LNCS, volume 12631)

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 …

Ensemble size classification in Colombian Andean string music recordings

Reliable methods for automatic retrieval of semantic information from large digital music archives can play a critical role in musicological research and musical heritage preservation. With the advancement of machine learning techniques, new …