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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 96 papers

TitleStatusHype
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
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
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability—0
Jointist: Joint Learning for Multi-instrument Transcription and Its Applications—0
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 Perceptual Measure for Evaluating the Resynthesis of Automatic Music TranscriptionsCode0
Deep-Learning Architectures for Multi-Pitch Estimation: Towards Reliable Evaluation—0
Semi-Supervised Convolutive NMF for Automatic Piano TranscriptionCode0
Polyphonic pitch detection with convolutional recurrent neural networks—0
Scorpiano -- A System for Automatic Music Transcription for Monophonic Piano MusicCode0
Multi-Channel Automatic Music Transcription Using Tensor AlgebraCode0
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data—0
AGREEMENT AMONG HUMAN AND AUTOMATED TRANSCRIPTIONS OF GLOBAL SONGS—0
Transformer-Based Approaches for Automatic Music TranscriptionCode0
Audio Content Analysis—0
Musical Features for Automatic Music Transcription Evaluation—0
Bayesian Sparsification Methods for Deep Complex-valued NetworksCode0
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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