User-driven fine-tuning for beat tracking

AS Pinto, S Böck, JS Cardoso, MEP Davies - Electronics, 2021 - mdpi.com
The extraction of the beat from musical audio signals represents a foundational task in the
field of music information retrieval. While great advances in performance have been …

Classification of interpretation differences in string quartets based on the origin of performers

M Istvanek, S Miklanek, L Spurny - Applied Sciences, 2023 - mdpi.com
Music Information Retrieval aims at extracting relevant features from music material, while
Music Performance Analysis uses these features to perform semi-automated music analysis …

[PDF][PDF] Bridging the Rhythmic Gap: A User-Centric Approach to Beat Tracking in Challenging Music Signals

AS Pinto, G Bernardes - Proceedings of the 16th …, 2023 - repositorio-aberto.up.pt
Deep-learning beat-tracking algorithms have made significant advancements in recent
years. However, despite these advancements, challenges persist when processing complex …

Towards Automatic Measure-Wise Feature Extraction Pipeline for Music Performance Analysis

M Ištvánek, Š Miklánek - 2022 45th International Conference on …, 2022 - ieeexplore.ieee.org
The task of obtaining ground-truth annotations is of fundamental importance for music
performance analysis. Measure positions could be used to navigate throughout the piece …

[PDF][PDF] Exploring the Possibilities of Automated Annotation of Classical Music with Abrupt Tempo Changes

M Ištvánek, Š Miklánek - Proceedings of the 28th Student EEICT, 2022 - researchgate.net
In this paper, we introduce options for automatic measure detection based on
synchronization, beat detection, and downbeat detection strategy. We evaluate proposed …