Music Auto-Tagging
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/cgaroufis/mscol_smc23
공식 코드https://github.com/cgaroufis/msspt
공식 코드Pre-training Music Classification Models via Music Source Separation
https://github.com/jdasam/traeumerAI
공식 코드https://github.com/juhannam/deepbof
공식 코드https://github.com/mir-aidj/edm-subgenre-classifier
공식 코드Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features
https://github.com/spijkervet/CLMR
공식 코드https://github.com/suncerock/EAsT-music-classification
공식 코드https://github.com/suncerock/peft-music
공식 코드Parameter-Efficient Transfer Learning for Music Foundation Models
https://github.com/tae-jun/resemul
공식 코드Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
https://github.com/FaceOnLive/Spleeter-Android-iOS
Pre-training Music Classification Models via Music Source Separation
https://github.com/aurianworld/matpac
Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
https://github.com/ddman1101/EDM-subgenre-classifier
Deep Learning Based EDM Subgenre Classification using Mel-Spectrogram and Tempogram Features
https://github.com/estebandito22/DeepContentRecommenders
https://github.com/jaehwlee/tf2-music-tagging-models
Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms
https://github.com/jongpillee/deep-content-user
https://github.com/jongpillee/music_dataset_split
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
https://github.com/kyungyunlee/sampleCNN-pytorch
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
https://github.com/nttcslab/eval-audio-repr
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
https://github.com/nttcslab/m2d
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
https://github.com/tae-jun/sample-cnn
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.