Skip to main content

BigData system of sound effects, remixes and sound collections

Project description

About the project

APICultor born to realize interdisciplinary performances based on sounds of the web platform http://redpanal.org. The system is also useful to use with any other sound database on the internet or even running it locally.

The sound is processed digitally using different live-coding techniques. A pre-analysis based on Music Information Retrieval (MIR) stored in a database and accessed via a web-service REST API is combined with real-time processing and synthesis, random processes and human control via external interfaces.

Examples available with SuperCollider, Pyo and pure data.

Spanish version: README_es.md

News

  • 2018
    • Migration to Python3 and setup.py install thanks to MarsCrop!
    • MusicEmotionMachine by MarsCrop (in development)
    • Cloud Instrument ready to play with an external controller, running in a dedicated device like Raspberry Pi or Bela Platform
  • 2017:
    • SuperCollider patch to play in realtime using sounds from public repositories (databases on the web). Realtime synthesis, wav retrieving using MIR descriptors, OSC & MIDI communication between process and controllers.
  • 2016: First demos (extracting MIR features, database build, MIR State Machine, etc)

Developers

See Development Guidelines.

License

Free Software shared with GPL v3, see LICENSE.

Cloud Instrument

Using a desktop computer, a Raspberry pi or bela platform.

See cloud_instrument/README.md

Interactive DEMO: Cloud Instrument. Interactive demo retrieving sounds from the Cloud using MIR descriptors and processing them in realtime (using raspicultor aka raspberry pi + apicultor).

UI

Open Stage Control User Interface

Custom MIDI Controller design

Yaeltex custom MIDI controllers

With a SuperCollider synthesizer/effects processor running in a Raspberry pi, plus an external sound card for high fidelity.

Performances

Sonidos Mutantes

Interdisciplinary performances based on sounds of the web platform Redpanal.org

Proofs of concept:

Components

  • Mock web service with API REST to provide audio samples using MIR descriptors as parameters
  • State machine, with each state defined by several MIR descriptors.
  • Interaction with the free internet sound database http://redpanal.org
  • API REST
  • Webscrapping by tag
  • Algorithms MIR to extract mean values or by frame of audio samples
  • Segmentation algorithms using different criteria.
  • Classify algorithms and clustering of samples of the sound database
  • Server OSC
  • Examples in Supercollider, pyo
  • Examples with MIDI and OSC controller. Locale and remote.

Dependencies

Tested under Linux, Mac OS (>10.11) and Windows 10.

Debian, Ubuntu 15.04 and 16.04 (and .10). And Docker images. Raspian @ Raspberry Pi

See INSTALL.md

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

apicultor-dev-2.0.1.tar.gz (117.0 kB view details)

Uploaded Source

File details

Details for the file apicultor-dev-2.0.1.tar.gz.

File metadata

  • Download URL: apicultor-dev-2.0.1.tar.gz
  • Upload date:
  • Size: 117.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.7.0 importlib_metadata/4.6.4 pkginfo/1.8.2 requests/2.25.0 requests-toolbelt/0.9.1 tqdm/4.51.0 CPython/3.9.9

File hashes

Hashes for apicultor-dev-2.0.1.tar.gz
Algorithm Hash digest
SHA256 5fcace845880cf4e553e707aa42913c5d2c9cb999fd394a19e573eef8006f38a
MD5 cacb8d268196530d66b6788ac97748df
BLAKE2b-256 7274bf3bdc51adc2ebc4524aa6ad61a75038df4e6608e0e488e75874ee238bb1

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