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Music Classification
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Recognizing Ornaments in Vocal Indian Art Music with Active Annotation
Progressive Rock Music Classification
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
EVolutionary Independent DEtermiNistiC Explanation
Arabic Music Classification and Generation using Deep Learning
CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language Models
GTSinger: A Global Multi-Technique Singing Corpus with Realistic Music Scores for All Singing Tasks
Benchmarking Sub-Genre Classification For Mainstage Dance Music
From Real to Cloned Singer Identification
Music Era Recognition Using Supervised Contrastive Learning and Artist Information
Hearing-Loss Compensation Using Deep Neural Networks: A Framework and Results From a Listening Test
Significance of Chirp MFCC as a Feature in Speech and Audio Applications
Pre-training Music Classification Models via Music Source Separation
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models
Audio Embeddings as Teachers for Music Classification
Toward Leveraging Pre-Trained Self-Supervised Frontends for Automatic Singing Voice Understanding Tasks: Three Case Studies
CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval
Symbolic Music Structure Analysis with Graph Representations and Changepoint Detection Methods
Toward Universal Text-to-Music Retrieval
SpectNet : End-to-End Audio Signal Classification Using Learnable Spectrograms
Low-Resource Music Genre Classification with Cross-Modal Neural Model Reprogramming
Learning Music Representations with wav2vec 2.0
Self-Supervised Contrastive Learning for Singing Voices
Iranian Modal Music (Dastgah) detection using deep neural networks
Contrastive Learning with Positive-Negative Frame Mask for Music Representation
S3T: Self-Supervised Pre-training with Swin Transformer for Music Classification
Visualizing Ensemble Predictions of Music Mood
Music Classification: Beyond Supervised Learning, Towards Real-world Applications
SpliceOut: A Simple and Efficient Audio Augmentation Method
BERT-like Pre-training for Symbolic Piano Music Classification Tasks
Exploring modality-agnostic representations for music classification
Deep Neural Network for Musical Instrument Recognition using MFCCs
Contrastive Learning of Musical Representations
Multi-view Audio and Music Classification
Multi-Task Self-Supervised Pre-Training for Music Classification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.