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, deterministic 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-0.7.0.tar.gz (26.4 kB view details)

Uploaded Source

Built Distribution

audiowalkman-0.7.0-py3-none-any.whl (30.3 kB view details)

Uploaded Python 3

File details

Details for the file audiowalkman-0.7.0.tar.gz.

File metadata

  • Download URL: audiowalkman-0.7.0.tar.gz
  • Upload date:
  • Size: 26.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.13

File hashes

Hashes for audiowalkman-0.7.0.tar.gz
Algorithm Hash digest
SHA256 821d06eb70082e0cf0129ab405d5b42424de1de2937b512e2423a7483c380f51
MD5 fb543d0901b88aa6943f42d34db25109
BLAKE2b-256 490a5b97e98410567fdbf7c4708b6b2cb6cf33481675f83f5042c67248604d92

See more details on using hashes here.

File details

Details for the file audiowalkman-0.7.0-py3-none-any.whl.

File metadata

File hashes

Hashes for audiowalkman-0.7.0-py3-none-any.whl
Algorithm Hash digest
SHA256 954fdda9d38206264cb3f49420bb272ba98ffde0d4d70445d24cf773a3a53a93
MD5 277ddfb1d790144ad1acae44f37f49ec
BLAKE2b-256 2c70a9ce30603611fd3285f35f4ae38e8e96ec1b74566d3a6a8bb553b6a15a53

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