| Name | wavescout JSON |
| Version |
0.1.0
JSON |
| download |
| home_page | |
| Summary | A lightweight module for easy beatmapping, key detection, and smart-slicing |
| upload_time | 2023-04-16 23:53:34 |
| maintainer | |
| docs_url | None |
| author | DJ Stomp |
| requires_python | >=3.10,<4.0 |
| license | MIT |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
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| coveralls test coverage |
No coveralls.
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# WaveScout
WaveScout is a lightweight Python library for quickly analyzing the tempo and key of audio files and slicing them into smaller segments based on measures.
## Features
- Analyzes tempo (BPM) and key of audio files
- Generates beat maps for audio files
- Slices audio files into smaller segments based on measures
- Exports plaintext beat map files and audio slices as a zip file
- Supports processing multiple audio files in a directory
## Installation
You can install WaveScout using pip:
```bash
pip install wavescout
```
## Dependencies
- numpy
- aubio
- pydub
## Usage
Here's a simple example of using WaveScout:
```python
from wavescout import WaveScout
# Analyze the audio file
scout = WaveScout("path/to/your/audio_file.mp3")
# Export the beat map to a plaintext file
scout.export("beat_map.txt")
# Export the audio slices to a zip file
scout.export("slices.zip", export_slices=True)
```
You can also use WaveScout to analyze and process multiple audio files in a directory:
```python
from wavescout import WaveScoutFactory
factory = WaveScoutFactory("path/to/your/audio_files_directory")
maps = factory.create_maps()
for map in maps:
map.export(f"{map.input_file_basename}_beat_map.txt")
map.export(f"{map.input_file_basename}_slices.zip", export_slices=True)
```
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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