Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification (INTERSPEECH 2023)
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Updated
Dec 5, 2024 - 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
Three in one. capture audio with mobile mic and then play, play songs from internal download directly, displaying spectogram (frequency) of an audio in Flutter.
Code accompanying ESANN 2025 submission "Real-Time Adventitious Lung Sound Event Detection: Assessing the Need for Breathing Cycle Segmentation". Dataset used was ICBHI 2017.
Audio Spectrogram Transformer with LoRA adapter.
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