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 76–96 of 96 papers

TitleStatusHype
Transfer of knowledge among instruments in automatic music transcription—0
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data—0
Audio Content Analysis—0
Adversarial Learning for Improved Onsets and Frames Music Transcription—0
A Transformer-Based Visual Piano Transcription Algorithm—0
Tuning Music Education: AI-Powered Personalization in Learning Music—0
AGREEMENT AMONG HUMAN AND AUTOMATED TRANSCRIPTIONS OF GLOBAL SONGS—0
A Phoneme-Informed Neural Network Model for Note-Level Singing Transcription—0
Annotation-free Automatic Music Transcription with Scalable Synthetic Data and Adversarial Domain Confusion—0
An Augmented Lagrangian Method for Piano Transcription using Equal Loudness Thresholding and LSTM-based Decoding—0
AMT-APC: Automatic Piano Cover by Fine-Tuning an Automatic Music Transcription Model—0
Engraving Oriented Joint Estimation of Pitch Spelling and Local and Global Keys—0
Exploring Transformer's potential on automatic piano transcription—0
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability—0
Fretting-Transformer: Encoder-Decoder Model for MIDI to Tablature Transcription—0
From Audio to Symbolic Encoding—0
Gaussian Processes for Music Audio Modelling and Content Analysis—0
High Resolution Guitar Transcription via Domain Adaptation—0
Improving Drumming Robot Via Attention Transformer Network—0
AIoT-Based Drum Transcription Robot using Convolutional Neural Networks—0
Investigation on the use of Hidden-Markov Models in automatic transcription of music—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