=========== Guitar evaluator

GuitarEvaluator computes onset and pitch estimation on monophonic guitar audio recordings. Onset detection is based on Madmom's Convolutional Neural Networcks algorithm; pitch estimation is based on Essentia's Melodia extractor. Evaluation can be done by executing the tests as explained below. Tests generate a log file with statistical results regarding the performance of the onset and pitch detectors. Usage::

import essentia.standard as es
from guitareval.guitar_evaluator import GuitarEvaluator

path = 'some_path/audio.wav'
sr = 22050

audio = es.MonoLoader(filename=path, sampleRate=sr)()

evaluator = GuitarEvaluator(sr)
onsets, pitch = evaluator.compute(audio)

Install

First you need to install Essentia MIR library as explained in http://essentia.upf.edu/documentation/installing.html Then in the following commands from GuitarEvaluator root folder:

• easy_install pip (only if you don't have pip installed)

• make init

• make install

Running tests:

• pip install nose (if you don't have installed nose)

• make test