{
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"name": "",
"signature": "sha256:706819cbfd628467abd31053a3a79b207af8b6252602c25509eeb930fe9f9063"
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"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Tonal Descriptors: Pitch and Chroma"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Load *Zigeunerweisen* by Pablo de Sarasate."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from urllib import urlretrieve\n",
"urlretrieve('https://ccrma.stanford.edu/workshops/mir2014/audio/prelude_cmaj_10s.wav', filename='prelude_cmaj_10s.wav')\n",
"urlretrieve('https://ccrma.stanford.edu/workshops/mir2014/audio/T08-violin-8k.wav', filename='violin.wav')\n",
"\n",
"from essentia.standard import MonoLoader\n",
"audio = MonoLoader(filename='violin.wav')()\n",
"\n",
"from IPython.display import Audio\n",
"fs = 44100.0\n",
"Audio(audio, rate=fs)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"\n",
" \n",
" "
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 67,
"text": [
""
]
}
],
"prompt_number": 67
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compute onsets, play audio signal with onsets superimposed."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from essentia.standard import PitchSalience, PredominantMelody, \\\n",
" PitchYinFFT, FrameGenerator, OnsetRate, AudioOnsetsMarker, \\\n",
" HPCP, TuningFrequency, Key, ChordsDetection, ChordsDescriptors\n",
"\n",
"onset_gen = OnsetRate()\n",
"onset_times, onset_rate = onset_gen(audio)\n",
"onset_samples = (onset_times*fs).astype(int)\n",
"#print onset_times\n",
"#print onset_rate\n",
"aom = AudioOnsetsMarker(onsets=onset_times)\n",
"audio_with_onsets = aom(audio)\n",
"\n",
"Audio(audio_with_onsets, rate=fs)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"\n",
" \n",
" "
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 68,
"text": [
""
]
}
],
"prompt_number": 68
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Compute a pitch for each onset-bounded segment."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from essentia.standard import Spectrum\n",
"spectrum = Spectrum()\n",
"\n",
"bounds = append(onset_times, (len(audio)/fs))\n",
"print bounds.shape\n",
"print type(bounds)\n",
"bounds_samples = (bounds*fs).astype(int)\n",
"\n",
"pitches = []\n",
"\n",
"def hz2midi(hz):\n",
" return 69 + 12*log2(hz/440.0)\n",
"\n",
"for i in range(len(bounds)-1):\n",
" seg_start = bounds_samples[i]\n",
" seg_end = bounds_samples[i+1]\n",
" seg = audio[seg_start:seg_end]\n",
" frame_sz = len(seg)\n",
" \n",
" if frame_sz % 2 == 1:\n",
" seg = seg[:-1]\n",
" frame_sz = len(seg)\n",
" \n",
" yin = PitchYinFFT(frameSize = frame_sz)\n",
" pitch, pitch_conf = yin(spectrum(seg))\n",
" pitches.append([pitch, frame_sz])\n",
"\n",
"midi_pitches = [[hz2midi(f[0]), f[1]/fs] for f in pitches]\n",
"#print midi_pitches"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"(33,)\n",
"\n"
]
}
],
"prompt_number": 69
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Synthesize a new signal comprised of pure sinusoids using the extracted midi pitch values and note durations."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def midi2hz(midi):\n",
" return 440*2**((midi-69)/12.0)\n",
"\n",
"def synth(midi, T, fs):\n",
" \n",
" f0 = midi2hz(midi)\n",
" #print midi, f0\n",
" N = int(T*fs)\n",
" n = arange(N)\n",
" t = n/float(fs)\n",
" return t, sin(2*pi*f0*t)\n",
"\n",
"t, y = synth(60, 0.01, fs)\n",
"plot(t, y)\n",
"\n",
"z = concatenate([synth(int(p[0]), p[1], fs)[1] for p in midi_pitches])\n",
"\n",
"audio_trim = audio[len(audio)-len(z):]\n",
"z_stereo = array([z, audio_trim])\n",
"#print z.shape, type(z)\n",
"#print audio.shape\n",
"#print audio_trim.shape, type(audio_trim)\n",
"#print z_stereo.shape\n",
"Audio(z_stereo.sum(axis=0), rate=fs)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"\n",
" \n",
" "
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 70,
"text": [
""
]
},
{
"metadata": {},
"output_type": "display_data",
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ICHIaSaTL5cL27dsRHx+P4OBgvPrqq4hq5lScF154of7/U1NTkdrMcUpGkOnNN72xWj4u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\nniW0jZMHBew6bBv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"text": [
""
]
}
],
"prompt_number": 70
}
],
"metadata": {}
}
]
}