Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification (INTERSPEECH 2023)
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Updated
Mar 11, 2025 - Python
Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification (INTERSPEECH 2023)
This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" and "Efficient Fine-tuning of Audio Spectrogram Transformers via Soft Mixture of Adapters".
Pytorch implementation of INTEGRATED PARAMETER-EFFICIENT TUNING FOR GENERAL-PURPOSE AUDIO MODELS
Audio Spectrogram Transformer with LoRA adapter.
GenreAST is a highly accurate music genre classification model relying on the AST model
Code accompanying ESANN 2025 submission "Exploring Model Architectures for Real-Time Lung Sound Event Detection". Dataset used was ICBHI 2017.
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