SilverAvocado/Silver-Audio-Dataset
Dataset Overview The dataset is a curated collection of .npy files containing MFCC features extracted from raw audio recordings. It has been specifically designed for training and evaluating machine learning models in the context of real-world emergency sound detection and classification tasks. The dataset captures diverse audio scenarios, making it a robust resource for developing safety-focused AI systems, such as the SilverAssistant project. Dataset… See the full description on the dataset page: https://huggingface.co/datasets/SilverAvocado/Silver-Audio-Dataset.
| Author / organization | SilverAvocado |
|---|---|
| Downloads | 222 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 December 2024 |
| Last updated at source | 11 December 2024 |
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222 now (-32 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Overview The dataset is a curated collection of .npy files containing MFCC features extracted from raw audio recordings. It has been specifically designed for training and evaluating machine learning models in the context of real-wo → Dataset Overview The dataset is a curated collection of .npy files containing MFCC features extracted from raw audio recordings. It has been specifically designed for training and evaluating machine learning models in the context of real-wo
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