Beat this! Accurate beat tracking without DBN postprocessing

F Foscarin, J Schlüter, G Widmer - arXiv preprint arXiv:2407.21658, 2024 - arxiv.org
We propose a system for tracking beats and downbeats with two objectives: generality
across a diverse music range, and high accuracy. We achieve generality by training on …

Analyzing and reducing the synthetic-to-real transfer gap in Music Information Retrieval: the task of automatic drum transcription

M Zehren, M Alunno, P Bientinesi - arXiv preprint arXiv:2407.19823, 2024 - arxiv.org
Automatic drum transcription is a critical tool in Music Information Retrieval for extracting and
analyzing the rhythm of a music track, but it is limited by the size of the datasets available for …

[HTML][HTML] A dataset of Norwegian Hardanger fiddle recordings with precise annotation of note and beat onsets

O Lartillot, MS Johansson, A Elowsson… - Transactions of the …, 2023 - transactions.ismir.net
The Hardanger fiddle is a variety of the violin used in the folk music of the western and
central part of southern Norway. This paper presents a dataset of several hours of …

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 …

[PDF][PDF] Transformer-Based Beat Tracking With Low-Resolution Encoder and High-Resolution Decoder.

T Cheng, M Goto - ISMIR, 2023 - staff.aist.go.jp
In this paper, we address the beat tracking task which is to predict beat times corresponding
to the input audio. Due to the long sequential inputs, it is still challenging to model the global …

[PDF][PDF] Human-in-the-Loop Adaptation for Interactive Musical Beat Tracking.

K Yamamoto - ISMIR, 2021 - archives.ismir.net
In music information retrieval (MIR), beat-tracking is one of the most fundamental and
important task. However, a perfect algorithm is difficult to achieve. In addition, there could be …

High-quality and reproducible automatic drum transcription from crowdsourced data

M Zehren, M Alunno, P Bientinesi - Signals, 2023 - mdpi.com
Within the broad problem known as automatic music transcription, we considered the
specific task of automatic drum transcription (ADT). This is a complex task that has recently …

ADTOF: A large dataset of non-synthetic music for automatic drum transcription

M Zehren, M Alunno, P Bientinesi - arXiv preprint arXiv:2111.11737, 2021 - arxiv.org
The state-of-the-art methods for drum transcription in the presence of melodic instruments
(DTM) are machine learning models trained in a supervised manner, which means that they …

Notes on the Music: A social data infrastructure for music annotation

DM Weigl, W Goebl, DJ Baker, T Crawford… - Proceedings of the 8th …, 2021 - dl.acm.org
Beside transmitting musical meaning from composer to reader, symbolic music notation
affords the dynamic addition of layers of information by annotation. This allows music scores …

Towards automatic DJ mixing: cue point detection and drum transcription

M Zehren - 2024 - diva-portal.org
With this thesis, we aim to automate the creation of DJ mixes. A DJ mix consists of an
uninterrupted sequence of music, constructed by playing tracks one after the other, to …