Skip to main content

A lightweight module for easy beatmapping, key detection, and smart-slicing

Project description

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:

pip install wavescout

Dependencies

  • numpy
  • aubio
  • pydub

Usage

Here's a simple example of using WaveScout:

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:

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 file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

wavescout-0.1.0.tar.gz (3.6 kB view details)

Uploaded Source

Built Distribution

wavescout-0.1.0-py3-none-any.whl (4.4 kB view details)

Uploaded Python 3

File details

Details for the file wavescout-0.1.0.tar.gz.

File metadata

  • Download URL: wavescout-0.1.0.tar.gz
  • Upload date:
  • Size: 3.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for wavescout-0.1.0.tar.gz
Algorithm Hash digest
SHA256 75b0ccd4e04ee3b38081a2ecbff9b8d838b3f39c3cf0a8bf62ce9e511e79ec6e
MD5 347d160622fc17424cdd1defe197db5a
BLAKE2b-256 0d1dee9755657f735a09a2f5adfaa212b070c90a649eba27a42ca6fedb20ca49

See more details on using hashes here.

File details

Details for the file wavescout-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: wavescout-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 4.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.8

File hashes

Hashes for wavescout-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 5d2379180f9bedd5913984e715358b46efd614b8e6d1c2ec859646ab652415b4
MD5 925718782ae06acc982cbb10ba418da5
BLAKE2b-256 23b445c682b3e41fa3170de876860ebb9f0e36103091570b93ce7c741431c511

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page