Transfer learning from speech to music: towards language-sensitive emotion recognition models
In this study, we address emotion recognition using unsupervised feature learning from speech data, and test its transferability to …
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 …
Musical Source Separation: An Introduction
Many people listen to recorded music as part of their everyday lives, e.g., from radio or TV programs, compact discs, downloads, or, …
Examining the Mapping Functions of Denoising Autoencoders in Singing Voice Separation
The goal of this article is to investigate what singing voice separation approaches based on neural networks learn from the data. We …
Microtiming analyisis in traditional Shetland Fiddle Music
This work aims to characterize microtiming variations in traditional Shetland fiddle music. These microtiming variations dictate the …
Selective Hearing: A Machine Listening perspective
Selective hearing (SH) refers to the listeners’ capability to focus their attention on a specific sound source or a group of …
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 …
