4 citations · 5 across the 6 of their papers we have counts for
3 papers · 1 filter
A Novel 1D State Space for Efficient Music Rhythmic Analysis
Mojtaba Heydari, Matthew McCallum, Andreas Ehmann +1
Inferring music time structures has a broad range of applications in music production, processing and analysis. Scholars have proposed various methods to analyze different aspects…
BeatNet: CRNN and Particle Filtering for Online Joint Beat Downbeat and Meter Tracking
Mojtaba Heydari, Frank Cwitkowitz, Zhiyao Duan
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 co…
Learning Sparse Analytic Filters for Piano Transcription
Frank Cwitkowitz, Mojtaba Heydari, Zhiyao Duan
In recent years, filterbank learning has become an increasingly popular strategy for various audio-related machine learning tasks. This is partly due to its ability to discover tas…