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Singer Identification
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
From Real to Cloned Singer Identification
Toward Leveraging Pre-Trained Self-Supervised Frontends for Automatic Singing Voice Understanding Tasks: Three Case Studies
Self-Supervised Contrastive Learning for Singing Voices
Boosting the Predictive Accurary of Singer Identification Using Discrete Wavelet Transform For Feature Extraction
MDCNN-SID: Multi-scale Dilated Convolution Network for Singer Identification
Addressing the confounds of accompaniments in singer identification
Spectrogram-channels u-net: a source separation model viewing each channel as the spectrogram of each source
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.