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 …
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 …
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 …
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 …
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 …