Papers with Code · CC BY-SA 4.0

Audio Tagging

11 평가 기록 1 datasets

Audio tagging is a task to predict the tags of audio clips. Audio tagging tasks include music tagging, acoustic scene classification, audio event classification, etc.

논문

Contrastive Audio-Visual Masked Autoencoder

2210.07839 2022-10-02 이 페이지의 평가 2건

mean average precision: 0.512

Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge Distillation

2211.04772 2022-11-09 이 페이지의 평가 2건

mean average precision: 0.498

AST: Audio Spectrogram Transformer

2104.01778 2021-04-05 이 페이지의 평가 1건

mean average precision: 0.485

Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models

2310.15648 2023-10-24 이 페이지의 평가 1건

mean average precision: 0.490

Efficient Training of Audio Transformers with Patchout

2110.05069 2021-10-11 이 페이지의 평가 1건

mean average precision: 0.496

ERANNs: Efficient Residual Audio Neural Networks for Audio Pattern Recognition

2106.01621 2021-06-03 이 페이지의 평가 1건

mean average precision: 0.450

PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

1912.10211 2020-08-23 이 페이지의 평가 1건

mean average precision: 0.431

PSLA: Improving Audio Tagging with Pretraining, Sampling, Labeling, and Aggregation

2102.01243 2021-02-02 이 페이지의 평가 1건

mean average precision: 0.474

Zero-shot Audio Source Separation through Query-based Learning from Weakly-labeled Data

2112.07891 2021-12-15 이 페이지의 평가 1건

mean average precision: 0.467