In this study, we address emotion recognition using unsupervised feature learning from speech data, and test its transferability to music. Our approach is to pre-train models using speech in English and Mandarin, and then fine-tune them with excerpts …
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 …
Computational musicology, machine learning and Colombian music.