Music Information Retrieval
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lukewys/chamber-ensemble-generator
공식 코드The Chamber Ensemble Generator: Limitless High-Quality MIR Data via Generative Modeling
https://github.com/marl/crepe
공식 코드https://github.com/megamine25/Music-genre-classification
공식 코드https://github.com/mequanent/ChantingModeClassification
공식 코드Computational Analysis of Yaredawi YeZema Silt in Ethiopian Orthodox Tewahedo Church Chants
https://github.com/microsoft/muzic
공식 코드CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval
https://github.com/microsoft/muzic/tree/main/clamp
공식 코드CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval
https://github.com/mimbres/neural-audio-fp
공식 코드Neural Audio Fingerprint for High-specific Audio Retrieval based on Contrastive Learning
https://github.com/mingu6/declarativedtw
공식 코드Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths
https://github.com/minzwon/musicfm
공식 코드https://github.com/miqwit/claraprint
공식 코드Claraprint: a chord and melody based fingerprint for western classical music cover detection
https://github.com/mir-aidj/all-in-one
공식 코드All-In-One Metrical And Functional Structure Analysis With Neighborhood Attentions on Demixed Audio
https://github.com/monetjoe/emelodygen
공식 코드EMelodyGen: Emotion-Conditioned Melody Generation in ABC Notation with the Musical Feature Template
https://github.com/mtg/choralsynth
공식 코드https://github.com/music-classification/tutorial
공식 코드Music Classification: Beyond Supervised Learning, Towards Real-world Applications
https://github.com/music-x-lab/hierarchical-metrical-structure
공식 코드https://github.com/mvp18/KD-SVD
공식 코드https://github.com/p-lambda/jukemir
공식 코드Codified audio language modeling learns useful representations for music information retrieval
https://github.com/parampreetsingh97/pim_v1_exai
공식 코드Explainable Deep Learning Analysis for Raga Identification in Indian Art Music
https://github.com/pramoneda/rubricnet
공식 코드Towards Explainable and Interpretable Musical Difficulty Estimation: A Parameter-efficient Approach
https://github.com/pxaris/fm-music-tagging
공식 코드Universal Music Representations? Evaluating Foundation Models on World Music Corpora
https://github.com/pxaris/lc-protonets
공식 코드Universal Music Representations? Evaluating Foundation Models on World Music Corpora
https://github.com/r9y9/wavenet_vocoder
공식 코드https://github.com/retrocirce/tonet
공식 코드TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music
https://github.com/sanderwood/clamp2
공식 코드CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models
https://github.com/satvik-venkatesh/you-only-hear-once
공식 코드You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection
https://github.com/seon82/musedetect
공식 코드A Hierarchical Deep Learning Approach for Minority Instrument Detection
https://github.com/shreyanc/model_debugging
공식 코드Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities
https://github.com/suncerock/EAsT-music-classification
공식 코드https://github.com/suziai/gui-tools
공식 코드Proceedings of the 5th International Workshop on Reading Music Systems
https://github.com/timziemer/goniometerfeature
공식 코드Goniometers are a Powerful Acoustic Feature for Music Information Retrieval Tasks
https://github.com/tinkle01/spectmamba
공식 코드https://github.com/tosiron/jazznet
공식 코드jazznet: A Dataset of Fundamental Piano Patterns for Music Audio Machine Learning Research
https://github.com/tuliochiodi/aircade
공식 코드AIRCADE: an Anechoic and IR Convolution-based Auralization Data-compilation Ensemble
https://github.com/vntkumar8/musical-instrument-classification
공식 코드Predominant Musical Instrument Classification based on Spectral Features
https://github.com/yufenhuang/mosa-music-motion-and-semantic-annotation-dataset
공식 코드MOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processing
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.