Audio Model Blocks
Auditory Cortex ResNet
Introduced by Dentamaro et al. in AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breathThe Auditory Cortex ResNet, briefly AUCO ResNet, is proposed and tested. It is a deep neural network architecture especially designed for audio classification trained end-to-end. It is inspired by the architectural organization of rat's auditory cortex, containing also innovations 2 and 3. The network outperforms the state-of-the-art accuracies on a reference audio benchmark dataset without any kind of preprocessing, imbalanced data handling and, most importantly, any kind of data augmentation.
Source: AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Audio Classification | 1 | 20.00% |
| COVID-19 Diagnosis | 1 | 20.00% |
| Dimensionality Reduction | 1 | 20.00% |
| Environmental Sound Classification | 1 | 20.00% |
| Sound Classification | 1 | 20.00% |
Usage Over Time
Components
| Component | Type |
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|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
