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Found 6 papers, 6 papers with code
Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music
To model the periodicity of beats, state-of-the-art beat tracking systems use "post-processing trackers" (PPTs) that rely on several empirically determined global assumptions for tempo transition, which work well for music with a steady tempo.
An Analysis Method for Metric-Level Switching in Beat Tracking
For expressive music, the tempo may change over time, posing challenges to tracking the beats by an automatic model.
JukeDrummer: Conditional Beat-aware Audio-domain Drum Accompaniment Generation via Transformer VQ-VAE
Instead of generating the drum track directly as waveforms, we use a separate VQ-VAE to encode the mel-spectrogram of a drum track into another set of discrete codes, and train the Transformer to predict the sequence of drum-related discrete codes.
Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking
Due to advances in deep learning, the performance of automatic beat and downbeat tracking in musical audio signals has seen great improvement in recent years.
Drum-Aware Ensemble Architecture for Improved Joint Musical Beat and Downbeat Tracking
This paper presents a novel system architecture that integrates blind source separation with joint beat and downbeat tracking in musical audio signals.
Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation
Blind music source separation has been a popular and active subject of research in both the music information retrieval and signal processing communities.
