AURIS
Audio Understanding for Resource-constrained Intelligent Systems
Overview
AURIS is an open-source framework for efficient audio understanding on resource-constrained devices. The project aims to enable real-time audio processing and analysis on microcontrollers and other edge devices using optimized neural networks.
🚧 Work in Progress 🚧
This project is currently under active development. Features, API, and documentation will be added progressively.
Goals
- Lightweight audio understanding framework for embedded systems
- Optimized for minimal resource usage (RAM, CPU, power)
- Support for common microcontrollers and edge devices
- Easy integration into existing embedded projects
Current Status
Currently in internal development phase. Public release timeline will be announced when the core functionality is stabilized.
License
MIT License
1 maintainer
Metadata
1 maintainer
Release files for auris 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| auris-0.0.1.tar.gz | 4.6 kB | Without provenance | Details for auris-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| auris-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for auris-0.0.1-py3-none-any.whl |
Total release size: 7.4 kB
Release files / auris-0.0.1.tar.gz
| Download URL | auris-0.0.1.tar.gz |
|---|---|
| Size | 4.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/4.0.1 CPython/3.11.10
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Release files / auris-0.0.1-py3-none-any.whl
| Download URL | auris-0.0.1-py3-none-any.whl |
|---|---|
| Size | 2.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.11.10
|
Security for auris 0.0.1
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