Skip to main content

play audio files in performance contexts

Project description

walkman

Build Status License: GPL v3 PyPI version Code style: black

Walkman is a minimalistic, robust software to trigger (audio) cues in performance contexts. It uses pyo as its backend and pysimplegui as its frontend. It can be configured by toml files.

Rationale

Live-electronic setups tend to be messy, difficult to maintain and difficult to test. Furthermore many compositions with live-electronics make use of cue-based pattern, but in most of electronic music frameworks (Pd, Max/MSP, ...) no default implementation exists. walkman aims to improve the situation by providing a simple, declarative configuration language to setup programs based on cues. The actual software is implemented in Python3, can be extended in python3 and can be tested with unit tests.

Installation

walkman is available on pip:

pip3 install audiowalkman

You can also use buildout to create an isolated environment. Please consult the respective README for more information.

Configuration file

# my_composition.toml

# ##    General configurations  ## #

[configure]
name = "my composition"

[configure.audio]
sampling_rate = 44100

[configure.input]
midi_control_list = [
    # [midi control, midi channel]
    [0, 1],
    [1, 1]
]

[configure.input.channel_mapping]
# physical input -> input index
1 = 0
2 = 1
3 = [0, 1]

[configure.output.channel_mapping]
# output index -> physical output
0 = 1
1 = 2
2 = 4
3 = [5, 6]


[configure.module.sound_file_player]
replication_count = 1

[configure.module.sound_file_player.0]
# We can set values passed to '__init__'
auto_stop = false

# And we can also override the default values of
# 'initialize' method.
[configure.module.sound_file_player.0.default_dict.decibel]
value = -6
midi_control_index = 0
midi_range = [-120, 0]

# ##    Cues                  ## #

[cue.1.sound_file_player.0]
path = "jungle_rain.wav"
decibel = -12
loop = true

[cue.2]
sound_file = false

[cue.2.harmonizer.0]
# Move in 10 seconds from decibel -20 to decibel 0
decibel = [[0, -20], [10, 0]]
factor = 4

Usage

walkman my_composition.toml

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

audiowalkman-0.11.2.tar.gz (42.5 kB view details)

Uploaded Source

Built Distribution

audiowalkman-0.11.2-py3-none-any.whl (45.2 kB view details)

Uploaded Python 3

File details

Details for the file audiowalkman-0.11.2.tar.gz.

File metadata

  • Download URL: audiowalkman-0.11.2.tar.gz
  • Upload date:
  • Size: 42.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for audiowalkman-0.11.2.tar.gz
Algorithm Hash digest
SHA256 30e7dd35c226a4985f23268efd8b4a50b1cc3786c2941e31a667c3efc53df175
MD5 6480e8eb183979af9c69f216a907829c
BLAKE2b-256 c7fd4e2a40d2acf33871d721ab6abd5b6465dc9aa8771ed30ac944281c3ad563

See more details on using hashes here.

File details

Details for the file audiowalkman-0.11.2-py3-none-any.whl.

File metadata

File hashes

Hashes for audiowalkman-0.11.2-py3-none-any.whl
Algorithm Hash digest
SHA256 103843fefd151f239077b764a527e06ff21ebf7b0b66729ffcf47dec20b8d1d2
MD5 69bc9edc20335c05fa620bae966b3095
BLAKE2b-256 3ab2a61494d25c58e9a90e06c7a3238907df6cdb4dcb28458c85c7ae85f506b7

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