7 papers with code • 0 benchmarks • 1 datasets
These leaderboards are used to track progress in Melody Extraction
Our experiments on both vocal melody extraction and general melody extraction validate the effectiveness of the proposed model.
Musical Instrument Playing Technique Detection Based on FCN: Using Chinese Bowed-Stringed Instrument as an Example
The effectiveness of the proposed framework is tested on a new dataset, its categorization of techniques is similar to our training dataset.
This paper presents an attempt to employ the mask language modeling approach of BERT to pre-train a 12-layer Transformer model over 4, 166 pieces of polyphonic piano MIDI files for tackling a number of symbolic-domain discriminative music understanding tasks.
In this paper, we propose TONet, a plug-and-play model that improves both tone and octave perceptions by leveraging a novel input representation and a novel network architecture.
In deep learning research, many melody extraction models rely on redesigning neural network architectures to improve performance.