SOTAVerified

Music Transcription

Music transcription is the task of converting an acoustic musical signal into some form of music notation.

( Image credit: ISMIR 2015 Tutorial - Automatic Music Transcription )

Papers

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Showing 26–50 of 96 papers

TitleStatusHype
Engraving Oriented Joint Estimation of Pitch Spelling and Local and Global Keys—0
A Data-Driven Analysis of Robust Automatic Piano Transcription—0
Annotation-free Automatic Music Transcription with Scalable Synthetic Data and Adversarial Domain Confusion—0
Improving Drumming Robot Via Attention Transformer Network—0
Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription—0
AIoT-Based Drum Transcription Robot using Convolutional Neural Networks—0
Multi-modal Multi-view Clustering based on Non-negative Matrix Factorization—0
Automatic Piano Transcription with Hierarchical Frequency-Time TransformerCode1
Multitrack Music Transcription with a Time-Frequency Perceiver—0
Transfer of knowledge among instruments in automatic music transcription—0
A Phoneme-Informed Neural Network Model for Note-Level Singing Transcription—0
From Audio to Symbolic Encoding—0
Cross-domain Neural Pitch and Periodicity EstimationCode2
M4Singer: a Multi-Style, Multi-Singer and Musical Score Provided Mandarin Singing CorpusCode2
FretNet: Continuous-Valued Pitch Contour Streaming for Polyphonic Guitar Tablature TranscriptionCode1
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability—0
The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative ModelingCode1
Jointist: Joint Learning for Multi-instrument Transcription and Its Applications—0
Unaligned Supervision For Automatic Music Transcription in The WildCode1
Exploring Transformer's potential on automatic piano transcription—0
Late multimodal fusion for image and audio music transcription—0
Acoustics-specific Piano Velocity EstimationCode0
A Lightweight Instrument-Agnostic Model for Polyphonic Note Transcription and Multipitch EstimationCode4
A Perceptual Measure for Evaluating the Resynthesis of Automatic Music TranscriptionsCode0
Deep-Learning Architectures for Multi-Pitch Estimation: Towards Reliable Evaluation—0
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All datasetsMAESTROMAPSMusicNetSlakh2100URMPSMD Piano

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Transkun V2 (SemiCRF)Onset F198.32—Unverified
2hFT-TransformerOnset F197.44—Unverified
3Kim et al.Onset F197.23—Unverified
4YourMT3+ (YPTF.MoE+M) noPSOnset F196.98—Unverified
5Kong et al.Onset F196.72—Unverified
6YourMT3+ (YPTF.MoE+M)Onset F196.52—Unverified
7Semi-CRFOnset F196.11—Unverified
8MT3 (single dataset)Onset F188—Unverified
9MT3 (multi dataset)Onset F186—Unverified
#ModelMetricClaimedVerifiedStatus
1Transkun V2 (SemiCRF) with Data AugmentationOnset F190.38—Unverified
2YourMT3+ (YPTF.MoE+M, unseen) noPSOnset F188.73—Unverified
3Edwards et al.Onset F188.4—Unverified
4YourMT3+ (YPTF+S, unseen)Onset F188.37—Unverified
5Transkun V2 (SemiCRF)Onset F186.1—Unverified
6hFT-TransformerOnset F185.14—Unverified
#ModelMetricClaimedVerifiedStatus
1Residual Shuffle-Exchange networkAPS78.02—Unverified
2Complex TransformerAPS74.22—Unverified
3Deep Complex NetworkAPS72.9—Unverified
4Concatenated TransformerAPS71.3—Unverified
5Deep Real NetworkAPS69.6—Unverified
6CNN (64 stride)APS67.8—Unverified
#ModelMetricClaimedVerifiedStatus
1YourMT3+ (YPTF.MoE+M)note-level F-measure-no-offset (Fno)0.85—Unverified
2PerceiverTFnote-level F-measure-no-offset (Fno)0.82—Unverified
3MT3 (colab)note-level F-measure-no-offset (Fno)0.75—Unverified
4Jointistnote-level F-measure-no-offset (Fno)0.6—Unverified
5MT3note-level F-measure-no-offset (Fno)0.57—Unverified
6Basic Pitchnote-level F-measure-no-offset (Fno)0.43—Unverified
#ModelMetricClaimedVerifiedStatus
1YourMT3+ (YPTF.MoE+M)Onset F181.79—Unverified
2MT3Onset F177—Unverified
#ModelMetricClaimedVerifiedStatus
1Transkun V2 (SemiCRF) with Data AugmentationOnset F198.71—Unverified