https://github.com/wetneb/copiste

A radio ripper featuring automatic audio classification
https://github.com/wetneb/copiste

Last synced: 5 days ago
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A radio ripper featuring automatic audio classification

• Host: GitHub
• URL: https://github.com/wetneb/copiste
• Owner: wetneb
• License: gpl-3.0
• Created: 2012-08-07T13:08:30.000Z (over 12 years ago)
• Default Branch: master
• Last Pushed: 2013-03-04T07:46:01.000Z (almost 12 years ago)
• Last Synced: 2024-12-15T14:51:42.667Z (8 days ago)
• Language: C++
• Size: 46.7 MB
• Stars: 4
• Watchers: 3
• Forks: 0
• Open Issues: 6
• Metadata Files:
  • Readme: README.md
  • License: COPYING

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README

        
Copiste project

==================

Antonin Delpeuch

Based on :

* libvlc : see http://videolan.org/

* Qt : see http://doc.trolltech.com/

* boost : see http://boost.org/

* libchromaprint : see http://acoustid.org/chromaprint

This project provides a small set of tools around audio classification.

`nnat` : Neural Network Analysis Tool

------------------------------------

This tool takes a neural network described in an XML format

(see the networks directory for examples) and trains it to

fit a given corpus, described in another XML format (see the

corpus directory for examples). It can also evaluate how good

a network fits a corpus, and provides a small graphical interface

that can be used to visualize 2D networks.

`featdraw` : Feature Drawer

----------------------------

This tool takes an audio file and draws the variations of some

features in this file. The features are described by a pipeline

(XML file, see the pipeline directory), allowing the user to

change on the fly how features are computed.

`mkcorpus` : Make Corpus

----------------------

This tool uses a pipeline and a set of audio files to create

a corpus (as in nnat) where the features are written.

It uses another XML file, which defines the different audio

classes.

`specdraw` : Draw Spectrum

----------------------------

This tool just takes as input an audio file and draws the

variations of the frequency spectrum during the time.

`classify` : Classify an audio file

---------------------------------

This program takes an audio file, a pipeline and a network, and

says what class the file belongs to.

`live` : Live stream classification with neural networks

-------------------------------------------------------

This program reads a live stream (e.g. a radio), and shows the

variations of the features and the classification of the stream,

using a neural network.

`fingerprint` : Live stream classification with hidden Markov models

---------------------------------------------------------------------

This program does the same thing as `live` but using HMM. Fingerprints

fed into the HMM are computed by libchromaprint. It is

currently under development.

See help pages of all these tools for specific usage instructions.