https://github.com/AMAAI-Lab/Music2Emotion
공식 코드Towards Unified Music Emotion Recognition across Dimensional and Categorical Models
Papers with Code 아카이브
Music Emotion Recognition
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/CPJKU/audioLIME
공식 코드Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities
https://github.com/Littleor/Personalized-DMER
공식 코드Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning
https://github.com/amaai-lab/awesome-mer
공식 코드https://github.com/amaai-lab/cross-dataset-emotion-alignment
공식 코드Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction
https://github.com/gudgud96/noisy-student-emotion-training
공식 코드https://github.com/microsoft/fadtk
공식 코드Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
https://github.com/shreyanc/model_debugging
공식 코드Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities
https://github.com/tibor-krols/cogsci2-spotify
공식 코드Multi-Modality in Music: Predicting Emotion in Music from High-Level Audio Features and Lyrics
https://github.com/Dohppak/Music-Emotion-Recognition-Classification
Music Mood Detection Based On Audio And Lyrics With Deep Neural Net
https://github.com/yc-li20/semi-supervised-training
Addressing Emotion Bias in Music Emotion Recognition and Generation with Frechet Audio Distance
https://github.com/yudhik11/MER-lyrics-Transformer
Transformer-based approach towards music emotion recognition from lyrics
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.