Melody Extraction
7 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Melody Extraction
ErhuPT
Most implemented papers
A Streamlined Encoder/Decoder Architecture for Melody Extraction
bill317996/Melody-extraction-with-melodic-segnet
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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.
MidiBERT-Piano: Large-scale Pre-training for Symbolic Music Understanding
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.
TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music
retrocirce/tonet
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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.
Clarinet: A Music Retrieval System
A MIDI based approach for music recognition is proposed and implemented in this paper.
Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction
smoothken/kknet
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In deep learning research, many melody extraction models rely on redesigning neural network architectures to improve performance.
