Beatnet: Crnn and particle filtering for online joint beat downbeat and meter tracking

M Heydari, F Cwitkowitz, Z Duan - arXiv preprint arXiv:2108.03576, 2021 - arxiv.org
The online estimation of rhythmic information, such as beat positions, downbeat positions,
and meter, is critical for many real-time music applications. Musical rhythm comprises …

[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 …

U-Beat: A multi-scale beat tracking model based on Wave-U-Net

T Cheng, M Goto - ICASSP 2023-2023 IEEE International …, 2023 - ieeexplore.ieee.org
In this paper, we propose a multi-scale model for beat tracking based on the Wave-U-Net
model. The proposed model learns multi-scale features by repeatedly resampling feature …

An Analysis of Using Fuzzy Annotations in CRNN-Based Joint Beat and Downbeat Tracking

T Cheng, M Goto - 2022 30th European Signal Processing …, 2022 - ieeexplore.ieee.org
This paper addresses joint beat and downbeat tracking by using a Convolutional Recurrent
Neural Network (CRNN) trained on Mel-spectral and chroma features of musical audio …

Improving music mixability by using rule-based stem modification and contextual information

R Sowula - 2024 - repositum.tuwien.at
This thesis assesses how music source separation (MSS) and contextual information can be
used to improve musical similarity measures in the context of automatic music mixing. In …

[PDF][PDF] BeatNet: A real-time music integrated beat and downbeat tracker

M Heydari, F Cwitkowitz, Z Duan - International Society for Music …, 2021 - par.nsf.gov
The online estimation of rhythmic information, such as beat positions, downbeat positions,
and meter, is critical for many real-time music applications. Musical rhythm comprises …