Compare some different onset detectors.

Onset detector comparison.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Onset detector comparison\n",
    "An evaluation of different onset detectors on a test set of monophonic violin, vocals and whistling recordings where the ground truth is pitch annotations created by human listeners. The onset detectors are part of a great library called [madmom](https://github.com/CPJKU/madmom) by Sebastian Böck et al."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-10-28T17:40:42.570065",
     "start_time": "2016-10-28T17:40:41.800909"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import glob\n",
    "from collections import defaultdict\n",
    "from multiprocessing import Pool, cpu_count\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import librosa as lr\n",
    "import mir_eval as me\n",
    "from madmom.features.onsets import (CNNOnsetProcessor, \n",
    "                                    RNNOnsetProcessor, \n",
    "                                    SpectralOnsetProcessor,\n",
    "                                    PeakPickingProcessor)\n",
    "from madmom.processors import SequentialProcessor\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-10-28T17:40:44.829409",
     "start_time": "2016-10-28T17:40:42.570974"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Path to dataset:/home/carl/Dropbox/Datasets/monophonic testset 1\n"
     ]
    }
   ],
   "source": [
    "DATASET_ROOT = input('Path to dataset:')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-10-28T17:40:44.836056",
     "start_time": "2016-10-28T17:40:44.830798"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def samples_paths(dataset_root=DATASET_ROOT):\n",
    "    for audio_path in glob.glob(os.path.join(dataset_root, '**/*.wav'), recursive=True):\n",
    "        directory, file = os.path.dirname(audio_path), os.path.basename(audio_path)\n",
    "        name, extension = os.path.splitext(file)\n",
    "        annotation_path = os.path.join(os.path.split(directory)[0], 'ann', name + '.lab')\n",
    "        instrument = os.path.split(os.path.split(directory)[0])[-1]\n",
    "        yield name, instrument, audio_path, annotation_path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-10-28T17:40:44.848946",
     "start_time": "2016-10-28T17:40:44.838509"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "onset_detectors = [CNNOnsetProcessor(),\n",
    "                   RNNOnsetProcessor(),\n",
    "                   SpectralOnsetProcessor(method='superflux')]\n",
    "# TODO Also test normal spectral flux etc. for reference.\n",
    "#[SpectralOnsetProcessor(onset_method=m) for m in SpectralOnsetProcessor.METHODS]\n",
    "onset_detectors = [SequentialProcessor([x, PeakPickingProcessor()]) \n",
    "                   for x in onset_detectors]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-10-28T17:46:49.736591",
     "start_time": "2016-10-28T17:40:44.849955"
    },
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/carl/anaconda3/lib/python3.5/site-packages/mir_eval/util.py:777: RuntimeWarning: invalid value encountered in less\n",
      "  if (np.diff(events) < 0).any():\n",
      "/home/carl/anaconda3/lib/python3.5/site-packages/mir_eval/util.py:713: RuntimeWarning: invalid value encountered in less_equal\n",
      "  hits = np.where(distance(ref, est) <= window)\n",
      "/home/carl/anaconda3/lib/python3.5/site-packages/mir_eval/util.py:777: RuntimeWarning: invalid value encountered in less\n",
      "  if (np.diff(events) < 0).any():\n",
      "/home/carl/anaconda3/lib/python3.5/site-packages/mir_eval/util.py:713: RuntimeWarning: invalid value encountered in less_equal\n",
      "  hits = np.where(distance(ref, est) <= window)\n",
      "/home/carl/anaconda3/lib/python3.5/site-packages/mir_eval/util.py:777: RuntimeWarning: invalid value encountered in less\n",
      "  if (np.diff(events) < 0).any():\n",
      "/home/carl/anaconda3/lib/python3.5/site-packages/mir_eval/util.py:713: RuntimeWarning: invalid value encountered in less_equal\n",
      "  hits = np.where(distance(ref, est) <= window)\n",
      "/home/carl/anaconda3/lib/python3.5/site-packages/mir_eval/onset.py:51: UserWarning: Estimated onsets are empty.\n",
      "  warnings.warn(\"Estimated onsets are empty.\")\n"
     ]
    }
   ],
   "source": [
    "def evaluate_onset_detector(onset_detector):\n",
    "    d = defaultdict(list)\n",
    "    for name, instrument, audio_path, annotation_path in samples_paths():\n",
    "        d['Song'].append(name)\n",
    "        d['Instrument'].append(instrument)\n",
    "        \n",
    "        # Load human created reference annotation.\n",
    "        reference_annotation = pd.read_csv(annotation_path, \n",
    "                                           delimiter='\\t',\n",
    "                                           names=['Note', 'Onset', 'Offset'])\n",
    "        reference_annotation = reference_annotation.sort_values(by='Onset')\n",
    "        \n",
    "        # Detect onsets.\n",
    "        estimated_onsets = onset_detector(audio_path)\n",
    "        \n",
    "        # Compare estimated onsets with reference.\n",
    "        scores = me.onset.evaluate(reference_annotation['Onset'], estimated_onsets)\n",
    "        for k, v in scores.items():\n",
    "            d[k].append(v)\n",
    "            \n",
    "    evaluation_results = pd.DataFrame(dict(zip(d.keys(), map(pd.Series, d.values()))))\n",
    "    evaluation_results['Method'] = onset_detector.processors[0].__class__.__name__\n",
    "    return evaluation_results\n",
    "\n",
    "\n",
    "with Pool(min(len(onset_detectors), cpu_count())) as p:\n",
    "    dfs = p.map(evaluate_onset_detector, onset_detectors)\n",
    "    df = pd.concat(dfs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2016-10-28T17:46:50.503340",
     "start_time": "2016-10-28T17:46:49.737576"
    },
    "collapsed": false
   },
   "outputs": [
    {
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Zl8lklM/np/xZu3btlNtkMpnQH2fGdcOYaB5ZSO60i/PO28Q5ueL7UYssPLJw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\ndl8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fbadd3d5ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.boxplot(by=['Method', 'Instrument'], rot=90, layout=(3, 1))\n",
    "plt.suptitle('')\n",
    "plt.subplots_adjust(left=0, bottom=0, right=1, top=3, wspace=0, hspace=0.1)"
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [conda root]",
   "language": "python",
   "name": "conda-root-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
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