MFAE: Masked frame-level autoencoder with hybrid-supervision for low-resource music transcription
Author:
Affiliation:
1. Fudan University,School of Computer Science and Technology,Shanghai,China
2. Fudan University,Shanghai Key Laboratory of Intelligent Information Processing,Shanghai,China
3. National Institute of Informatics (NII),China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219925.pdf?arnumber=10219925
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1. Convolution augmented transformer for semi-supervised sound event detection;miyazaki;Proc Workshop Detection Classification Acoust Scenes Events,2020
2. Sound Event Detection of Weakly Labelled Data With CNN-Transformer and Automatic Threshold Optimization
3. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;ICLRE,2021
4. AST: Audio Spectrogram Transformer
5. High-Resolution Piano Transcription With Pedals by Regressing Onset and Offset Times
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Timbre-Trap: A Low-Resource Framework for Instrument-Agnostic Music Transcription;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14
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