Datasets:
Tasks:
Audio Classification
Modalities:
Audio
Formats:
soundfolder
Languages:
English
Size:
< 1K
License:
| license: cc0-1.0 | |
| task_categories: | |
| - audio-classification | |
| tags: | |
| - audio | |
| - biology | |
| - dog | |
| - test-fixtures | |
| language: | |
| - en | |
| size_categories: | |
| - n<1K | |
| # Pet Decoder Audio Test Fixtures (v1.0) 🧪 | |
| This repository contains **audio test fixtures** used for validating the ingestion pipeline of the **[Pet Decoder AI](https://petdecoder.ai)** application. | |
| These are verified, public domain samples used to test our audio visualization and classification algorithms against known baselines (e.g., Low Frequency vs. High Frequency vocalizations). | |
| ## Dataset Contents | |
| The dataset consists of 5 reference audio files representing distinct spectral patterns: | |
| * **`dog_bark_large.mp3`**: Low frequency, high amplitude bark (Large Breed). | |
| * **`dog_bark_small.mp3`**: High pitch, rapid modulation bark (Small Breed). | |
| * **`dog_whimper.mp3`**: Distress vocalization pattern. | |
| * **`dog_growl_play.mp3`**: Low rumble/growl (Play aggression). | |
| * **`dog_panting.mp3`**: Breath-heavy audio (Noise baseline). | |
| ## Usage | |
| These fixtures are intended for: | |
| 1. **Unit Testing:** Validating audio uploaders and spectrogram generators. | |
| 2. **Baseline Calibration:** Testing frequency detection thresholds (e.g., distinguishing a growl from a bark). | |
| For full behavioral analysis and emotional decoding of your own pet, visit the main application: | |
| 👉 **[Pet Decoder AI - Pet Behavior Translator](https://petdecoder.ai)** | |
| ## Licensing & Source | |
| This dataset uses public domain (CC0) audio samples from the **Red Library Sound Effects Collection**, digitized by Craig Smith (USC). | |
| * **Source:** [Internet Archive (Red Library: Animals Dogs)](https://archive.org/details/Red_Library_Animals_Dogs) | |
| * **License:** CC0 1.0 Universal (Public Domain) |