https://github.com/9552nZ/SmartSheetMusic
An End-to-End Neural Network for Polyphonic Piano Music Transcription
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Music Transcription
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Music transcription is the task of converting an acoustic musical signal into some form of music notation.
<span style="color:grey; opacity: 0.6">( Image credit: ISMIR 2015 Tutorial - Automatic Music Transcription )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Aolin-MIR/Sequence-to-Sequence-Piano-Transcription-with-Transformers
https://github.com/Aroksak/RSE
Residual Shuffle-Exchange Networks for Fast Processing of Long Sequences
https://github.com/BShakhovsky/PolyphonicPianoTranscription
https://github.com/Doyosae/Deep-Complex-Networks
https://github.com/JesperDramsch/keras-complex
https://github.com/Kangmo/kogenta
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
https://github.com/MRSRL/complex-networks-release
https://github.com/Medabid1/ComplexValuedCNN
https://github.com/QinggangSUN/keras_complex_valued_networks
https://github.com/iooops/CS221-Audio-Tagging
Deep convolutional neural networks for predominant instrument recognition in polyphonic music
https://github.com/ispamm/htorch
https://github.com/jsleep/wav2mid
An End-to-End Neural Network for Polyphonic Piano Music Transcription
https://github.com/jthickstun/thickstun2017learning
https://github.com/junhoyeo/magenta-school-song
Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset
https://github.com/keunwoochoi/DrummerNet
https://github.com/kunato/mt3-pytorch
https://github.com/omrijsharon/torchlex
https://github.com/pskiers/symbotunes
Music transcription modelling and composition using deep learning
https://github.com/rlax59us/MT3-MAESTRO-pytorch
https://github.com/w4k2/automatic_music_transcription
https://github.com/ypeleg/komplex
https://github.com/yujia-yan/skipping-the-frame-level
Scoring Time Intervals using Non-Hierarchical Transformer For Automatic Piano Transcription
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.