Datasets:
Tasks:
Audio Classification
Modalities:
Audio
Formats:
soundfolder
Languages:
English
Size:
< 1K
License:
File size: 1,760 Bytes
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---
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) |