https://github.com/965694547/hybrid-system-of-frame-wise-model-and-sedt
Sound Event Detection Transformer: An Event-based End-to-End Model for Sound Event Detection
Papers with Code 아카이브
Audio Tagging
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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.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Audio-WestlakeU/ATST-SED
Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks
https://github.com/MattSegal/speech-enhancement
https://github.com/MindSpore-paper-code-2/code400/tree/main/CRNN
https://github.com/alexander-prutko/mil-audio-denoising
https://github.com/anicolson/DeepXi
https://github.com/asudomoeva/Audio-Tagging
https://github.com/aurianworld/matpac
Masked Latent Prediction and Classification for Self-Supervised Audio Representation Learning
https://github.com/cgaroufis/msspt
https://github.com/dbalaji5/audiotagging
https://github.com/ebouteillon/freesound-audio-tagging-2019
https://github.com/francoisgermain/SpeechDenoisingWithDeepFeatureLosses
https://github.com/fschmid56/efficientat_hear
Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge Distillation
https://github.com/iooops/CS221-Audio-Tagging
https://github.com/jordipons/musicnn-training
musicnn: Pre-trained convolutional neural networks for music audio tagging
https://github.com/k-h-ismail/dilated-convolution-with-learnable-spacings-pytorch
Audio classification with Dilated Convolution with Learnable Spacings
https://github.com/kkoutini/passt_hear21
https://github.com/kuntojirohan/speechdenoising
https://github.com/lRomul/argus-freesound
https://github.com/lgerrets/asait18-tagging
Unsupervised Feature Learning Based on Deep Models for Environmental Audio Tagging
https://github.com/lucidrains/zorro-pytorch
https://github.com/mariyashcheg/kaggle-freesound-2019
Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging
https://github.com/morrisxu-driving/video-music_cross-modal_retrival
musicnn: Pre-trained convolutional neural networks for music audio tagging
https://github.com/nttcslab/composing-general-audio-repr
https://github.com/nttcslab/dcase2025_task4_baseline
Baseline Systems and Evaluation Metrics for Spatial Semantic Segmentation of Sound Scenes
https://github.com/nttcslab/eval-audio-repr
M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
https://github.com/numpde/phonepad
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling
https://github.com/pwc-1/Paper-8/tree/main/audio_spectrogram_transformer
https://github.com/pxaris/ccml
https://github.com/r0mer0m/learning_audio_modeling
General audio tagging with ensembling convolutional neural network and statistical features
https://github.com/topel/dcase19-RCNN-task4
Evaluation of post-processing algorithms for polyphonic sound event detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.