Skip to main content

Use Vamp plugins for audio feature analysis.

Project description

This module allows Python code to load and use native-code Vamp plugins (http://vamp-plugins.org) for audio feature analysis.

The module consists of a native-code extension (“vampyhost”) that provides a low-level wrapper for the Vamp plugin SDK, along with a Python wrapper (“vamp”) that provides a higher-level abstraction.

No code for loading audio files is included; you’ll need to use some other module for that. This code expects to receive decoded audio data of one or more channels, either as a series of frames or as a single whole buffer.

Written by Chris Cannam and George Fazekas at the Centre for Digital Music, Queen Mary University of London. Copyright 2008-2015 Queen Mary, University of London. Refer to COPYING.rst for licence details.

See home page at https://code.soundsoftware.ac.uk/projects/vampy-host for more details.

A simple example

Using librosa (http://bmcfee.github.io/librosa/) to read an audio file, and the NNLS Chroma Vamp plugin (https://code.soundsoftware.ac.uk/projects/nnls-chroma/) for analysis:

>>> import vamp
>>> import librosa
>>> data, rate = librosa.load("example.wav")
>>> chroma = vamp.collect(data, rate, "nnls-chroma:nnls-chroma")
>>> chroma
{'matrix': ( 0.092879819, array([[  61.0532608 ,   60.27478409,   59.3938446 , ...,  182.13394165,
          42.40084457,  116.55457306],
       [  68.8901825 ,   63.98115921,   60.77633667, ...,  245.88218689,
          68.51251984,  164.70120239],
       [  58.59794617,   50.3429184 ,   45.44804764, ...,  258.02362061,
          83.95749664,  179.91200256],
       ...,
       [   0.        ,    0.        ,    0.        , ...,    0.        ,
           0.        ,    0.        ],
       [   0.        ,    0.        ,    0.        , ...,    0.        ,
           0.        ,    0.        ],
       [   0.        ,    0.        ,    0.        , ...,    0.        ,
           0.        ,    0.        ]], dtype=float32))}
>>> stepsize, chromadata = chroma["matrix"]
>>> import matplotlib.pyplot as plt
>>> plt.imshow(chromadata)
<matplotlib.image.AxesImage object at 0x7fe9e0043fd0>
>>> plt.show()

And a pitch-chroma plot appears.

High-level interface (vamp)

This module contains three sorts of function:

1. Basic info and lookup functions

  • vamp.list_plugins

  • vamp.get_outputs_of

  • vamp.get_category_of

These retrieve the installed plugin keys and get basic information about each plugin. (For more detailed information, load a plugin and inspect it using the low-level interface described below.)

2. Process functions

  • vamp.process_audio

  • vamp.process_frames

  • vamp.process_audio_multiple_outputs

  • vamp.process_frames_multiple_outputs

These accept audio input, and produce output in the form of a list of feature sets structured similarly to those in the C++ Vamp plugin SDK. The plugin to be used is specified by its key (the identifier as returned by vamp.list_plugins). A dictionary of plugin parameter settings may optionally be supplied.

The _audio versions take a single (presumably long) array of audio samples as input, and chop it into frames according to the plugin’s preferred step and block sizes. The _frames versions instead accept an enumerable sequence of audio frame arrays.

3. The process-and-collect function

  • vamp.collect

This accepts a single array of audio samples as input, and returns an output structure that reflects the underlying structure of the feature output (depending on whether it is a curve, grid, etc). The plugin to be used is specified by its key. A dictionary of plugin parameter settings may optionally be supplied.

The collect function processes the whole input before returning anything; if you need to supply a streamed input, or retrieve results as they are calculated, then you must use one of the process functions (above) or else the low-level interface (below).

Low-level interface (vampyhost)

This extension contains facilities that operate on Vamp plugins in a way analogous to the existing C++ Vamp Host SDK: list_plugins, get_plugin_path, get_category_of, get_library_for, get_outputs_of, load_plugin, and a utility function frame_to_realtime.

Calling load_plugin gets you a vampyhost.Plugin object, which then exposes all of the methods found in the Vamp SDK Plugin class.

(Note that methods wrapped directly from the Vamp SDK are named using camelCase, so as to match the names found in the C++ SDK. Elsewhere this module follows Python PEP8 naming.)

See the individual module and function documentation for further details.

Python Vamp Host Copyright (c) 2008-2015 Queen Mary, University of London

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Except as contained in this notice, the names of the Centre for Digital Music and Queen Mary, University of London shall not be used in advertising or otherwise to promote the sale, use or other dealings in this Software without prior written authorization.

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

vamp-1.0.1.tar.gz (104.4 kB view details)

Uploaded Source

Built Distributions

vamp-1.0.1-cp27-none-win32.whl (104.9 kB view details)

Uploaded CPython 2.7 Windows x86

vamp-1.0.1-cp27-none-macosx_10_10_x86_64.whl (132.4 kB view details)

Uploaded CPython 2.7 macOS 10.10+ x86-64

File details

Details for the file vamp-1.0.1.tar.gz.

File metadata

  • Download URL: vamp-1.0.1.tar.gz
  • Upload date:
  • Size: 104.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for vamp-1.0.1.tar.gz
Algorithm Hash digest
SHA256 56e89eb9749353a5a02d0119694bb71aab6f50eb5a9ab9341410da7374179a1b
MD5 a980297db3b09db0d6d5ef47cf4d90cc
BLAKE2b-256 4ad2d5ceaba2d16c129d2a9287f62421aca91aa34e0f6419467827a8af80b2a4

See more details on using hashes here.

File details

Details for the file vamp-1.0.1-cp27-none-win32.whl.

File metadata

File hashes

Hashes for vamp-1.0.1-cp27-none-win32.whl
Algorithm Hash digest
SHA256 28c7952496845bb5af1b1e4cd3ab52a2c5f2663ab905b28b110006e51aa20a5b
MD5 66f1b3dd1a1c868ecfef64150ef3e80f
BLAKE2b-256 be41e127d9577fb392070ddca2f7a15fbeec74c61f0d19e8801833743d1f9642

See more details on using hashes here.

File details

Details for the file vamp-1.0.1-cp27-none-macosx_10_10_x86_64.whl.

File metadata

File hashes

Hashes for vamp-1.0.1-cp27-none-macosx_10_10_x86_64.whl
Algorithm Hash digest
SHA256 b6b1d867d8ddb9d7a60b313e855d7799eaebbb366890a59eda3b1f87ce4e3428
MD5 b0c32d0dc27f3e0d9db1669ab1277060
BLAKE2b-256 6f1ef4f05bc95caac161a5d03883584e07a48aa4e81a48975db95567d104150f

See more details on using hashes here.

Supported by

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