Music Information Retrieval
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/AMAAI-Lab/megamusicaps
공식 코드MIRFLEX: Music Information Retrieval Feature Library for Extraction
https://github.com/Alec-Wright/OpenAmp
공식 코드Open-Amp: Synthetic Data Framework for Audio Effect Foundation Models
https://github.com/CPJKU/audioLIME
공식 코드https://github.com/CarlWangChina/MuChin
공식 코드https://github.com/Darel13712/pretrained-audio-representations
공식 코드Comparative Analysis of Pretrained Audio Representations in Music Recommender Systems
https://github.com/Hayeonbang/PIAST
공식 코드PIAST: A Multimodal Piano Dataset with Audio, Symbolic and Text
https://github.com/Littleor/Personalized-DMER
공식 코드Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning
https://github.com/Metacreation-Lab/GigaMIDI-Dataset
공식 코드The GigaMIDI Dataset with Features for Expressive Music Performance Detection
https://github.com/Music-and-Culture-Technology-Lab/omnizart
공식 코드Omnizart: A General Toolbox for Automatic Music Transcription
https://github.com/Natooz/MidiTok
공식 코드https://github.com/Natooz/music-modeling-time-duration
공식 코드Impact of time and note duration tokenizations on deep learning symbolic music modeling
https://github.com/Pliploop/SemiSupCon
공식 코드Semi-Supervised Contrastive Learning of Musical Representations
https://github.com/RS2002/Adversarial-MidiBERT
공식 코드https://github.com/SonyCSLParis/cae-invar
공식 코드Learning Complex Basis Functions for Invariant Representations of Audio
https://github.com/SonyCSLParis/music2latent
공식 코드Music2Latent: Consistency Autoencoders for Latent Audio Compression
https://github.com/SunnyCYC/aug4mss
공식 코드Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation
https://github.com/ZainNasrullah/music-artist-classification-crnn
공식 코드Music Artist Classification with Convolutional Recurrent Neural Networks
https://github.com/a43992899/marble-benchmark
공식 코드MARBLE: Music Audio Representation Benchmark for Universal Evaluation
https://github.com/acids-ircam/lottery_mir
공식 코드https://github.com/aframires/drum-loop-synthesis
공식 코드LoopNet: Musical Loop Synthesis Conditioned On Intuitive Musical Parameters
https://github.com/agelosk/Instrument_Classification_Paper
공식 코드Augmentation Methods on Monophonic Audio for Instrument Classification in Polyphonic Music
https://github.com/ahmedheakl/Study-on-Broadcast-Networks-for-Music-Genre-Classification
공식 코드A Study on Broadcast Networks for Music Genre Classification
https://github.com/alexTsaptsinos/lyricsHAN
공식 코드Lyrics-Based Music Genre Classification Using a Hierarchical Attention Network
https://github.com/amaai-lab/mustango
공식 코드https://github.com/andrebola/icassp2021
공식 코드Melon Playlist Dataset: a public dataset for audio-based playlist generation and music tagging
https://github.com/anusfoil/symrep
공식 코드Symbolic Music Representations for Classification Tasks: A Systematic Evaluation
https://github.com/benadar293/benadar293.github.io
공식 코드Unaligned Supervision For Automatic Music Transcription in The Wild
https://github.com/brown-palm/syntheory
공식 코드https://github.com/bytedance/GiantMIDI-Piano
공식 코드GiantMIDI-Piano: A large-scale MIDI dataset for classical piano music
https://github.com/carlosholivan/symbolic-music-structure-analysis
공식 코드Symbolic Music Structure Analysis with Graph Representations and Changepoint Detection Methods
https://github.com/changhongw/audio-embedding-bias
공식 코드Transfer Learning and Bias Correction with Pre-trained Audio Embeddings
https://github.com/chrisdonahue/sheetsage
공식 코드https://github.com/chrispla/limited-music-representations
공식 코드https://github.com/chrispla/mir_ref
공식 코드mir_ref: A Representation Evaluation Framework for Music Information Retrieval Tasks
https://github.com/cmisra/sangeet
공식 코드SANGEET: A XML based Open Dataset for Research in Hindustani Sangeet
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.