21 citations · 63 across the 15 of their papers we have counts for
9 papers · 1 filter
Audio Embeddings as Teachers for Music Classification
Yiwei Ding, Alexander Lerch
Music classification has been one of the most popular tasks in the field of music information retrieval. With the development of deep learning models, the last decade has seen impr…
Music Instrument Classification Reprogrammed
Hsin-Hung Chen, Alexander Lerch
The performance of approaches to Music Instrument Classification, a popular task in Music Information Retrieval, is often impacted and limited by the lack of availability of annota…
Scream Detection in Heavy Metal Music
Vedant Kalbag, Alexander Lerch
Harsh vocal effects such as screams or growls are far more common in heavy metal vocals than the traditionally sung vocal. This paper explores the problem of detection and classifi…
Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes
Karn N. Watcharasupat, Alexander Lerch
Controllable music generation with deep generative models has become increasingly reliant on disentanglement learning techniques. However, current disentanglement metrics, such as…
Improving Music Performance Assessment with Contrastive Learning
Pavan Seshadri, Alexander Lerch
Several automatic approaches for objective music performance assessment (MPA) have been proposed in the past, however, existing systems are not yet capable of reliably predicting r…
Is Disentanglement enough? On Latent Representations for Controllable Music Generation
Ashis Pati, Alexander Lerch
Improving controllability or the ability to manipulate one or more attributes of the generated data has become a topic of interest in the context of deep generative models of music…