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Sound Classification

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/raymin0223/patch-mix_contrastive_learning

공식 코드

Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification

https://github.com/retrocirce/hts-audio-transformer

공식 코드

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection

https://github.com/sainathadapa/urban-sound-tagging

공식 코드

Urban Sound Tagging using Convolutional Neural Networks

https://github.com/sajabdoli/Environmental_sound_classification

공식 코드

End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network

https://github.com/sani002/HS-Dataset

공식 코드

BUET Multi-disease Heart Sound Dataset: A Comprehensive Auscultation Dataset for Developing Computer-Aided Diagnostic Systems

https://github.com/sharathadavanne/doa-net

공식 코드

Differentiable Tracking-Based Training of Deep Learning Sound Source Localizers

https://github.com/sharathadavanne/hungarian-net

공식 코드

Differentiable Tracking-Based Training of Deep Learning Sound Source Localizers

https://github.com/swagshaw/asc-cl

공식 코드

Continual Learning For On-Device Environmental Sound Classification

https://github.com/torabiy/hls-cmds

공식 코드

Manikin-Recorded Cardiopulmonary Sounds Dataset Using Digital Stethoscope

https://github.com/uddipanmukherjee/cardiovascular_audio_classification

공식 코드

A Visual Domain Transfer Learning Approach for Heartbeat Sound Classification

https://github.com/usc-sail/mica-subtitle-aligned-movie-sounds

공식 코드

A dataset for Audio-Visual Sound Event Detection in Movies

https://github.com/wa976/pafa

공식 코드

Patient-Aware Feature Alignment for Robust Lung Sound Classification:Cohesion-Separation and Global Alignment Losses

https://github.com/warpcut/lrp-project

공식 코드

Interpreting deep urban sound classification using Layer-wise Relevance Propagation

https://github.com/wentaoheunnc/mvst

공식 코드

Multi-View Spectrogram Transformer for Respiratory Sound Classification

https://github.com/yunyikristy/global_local

공식 코드

Contrastive Learning of Global-Local Video Representations

https://github.com/Logan97117/environmental_sound_classification_1DCNN

End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network

https://github.com/asteroid-team/torch-audiomentations

AudioCLIP: Extending CLIP to Image, Text and Audio

https://github.com/edufonseca/icassp19

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

https://github.com/iver56/audiomentations

AudioCLIP: Extending CLIP to Image, Text and Audio

https://github.com/jaron/deep-listening

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

https://github.com/joetho786/Respiratory-Sound-Classification-in-Wearable-Devices-Enabled-by-Patient-Specific-Model-Tuning

Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning

https://github.com/julirao/whisper_audio_classification

AudioCLIP: Extending CLIP to Image, Text and Audio

https://github.com/makcedward/nlpaug

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

https://github.com/mariostrbac/environmental-sound-classification

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

https://github.com/marl/l3embedding

Look, Listen and Learn

https://github.com/osnandhu/DS5500_PCG_Classification

An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification

https://github.com/sdeva14/eusipco17-drone-sound-detection

Empirical Study of Drone Sound Detection in Real-Life Environment with Deep Neural Networks

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