2022-09-11 11:28:25 +00:00
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import matplotlib.pyplot as plt\n",
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"%matplotlib inline\n",
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"plt.rcParams[\"figure.figsize\"] = (12, 4)\n",
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" \n",
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"import hifiscan as hifi\n",
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"audio = hifi.Audio()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"data": {
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2022-09-17 09:43:04 +00:00
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"image/png": "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2022-09-11 11:28:25 +00:00
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"text/plain": [
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"<Figure size 864x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"# Spectrum measurement\n",
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"analyzer = hifi.Analyzer(f0=20, f1=20000, secs=1, rate=audio.rate, ampl=0.4)\n",
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"audio.play(analyzer.chirp)\n",
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"async for recording in audio.record():\n",
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" if analyzer.findMatch(recording):\n",
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" break\n",
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" if analyzer.timedOut():\n",
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" raise Exception('Timeout')\n",
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" \n",
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"spectrum = analyzer.spectrum(smoothing=10)\n",
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"plt.plot(*spectrum)\n",
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"plt.grid()"
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]
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},
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{
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"cell_type": "code",
|
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|
|
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"execution_count": 3,
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"metadata": {},
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"outputs": [
|
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{
|
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"data": {
|
2022-09-17 09:43:04 +00:00
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"image/png": "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2022-09-11 11:28:25 +00:00
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"text/plain": [
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"<Figure size 864x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"# Input stimulus x\n",
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"plt.plot(analyzer.x)\n",
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"plt.grid()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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2022-09-17 09:43:04 +00:00
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"image/png": "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
|
2022-09-11 11:28:25 +00:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 864x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
|
|
|
|
},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"# Output response y\n",
|
|
|
|
|
"plt.plot(analyzer.y)\n",
|
|
|
|
|
"plt.grid()"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2022-09-17 09:43:04 +00:00
|
|
|
"execution_count": 5,
|
2022-09-11 11:28:25 +00:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2022-09-17 09:43:04 +00:00
|
|
|
"image/png": "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
|
2022-09-11 11:28:25 +00:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 864x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
|
|
|
|
},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"# Transfer function H = X / Y, with X = FT(x), Y = FT(y) and FT the Fourier Transform\n",
|
|
|
|
|
"# f, H = analyzer.H()\n",
|
|
|
|
|
"f, H2 = analyzer.H2(smoothing=0)\n",
|
|
|
|
|
"H = H2 ** 0.5\n",
|
|
|
|
|
"plt.plot(f, H)\n",
|
|
|
|
|
"plt.grid()"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 6,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2022-09-17 09:43:04 +00:00
|
|
|
"image/png": "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
|
2022-09-11 11:28:25 +00:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 864x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
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},
|
|
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"output_type": "display_data"
|
|
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|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"# Impulse response h = IFT(H), with IFT the Inverse Fourier Transform\n",
|
|
|
|
|
"t, h = analyzer.h()\n",
|
|
|
|
|
"plt.plot(t, h)\n",
|
|
|
|
|
"plt.grid()\n",
|
|
|
|
|
"audio.play(h / np.abs(h).max())"
|
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|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 7,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2022-09-17 09:43:04 +00:00
|
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|
"image/png": "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
|
2022-09-11 11:28:25 +00:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 864x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
|
|
|
|
},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"# Inverse impulse response h_inv = IFT(1 / H)\n",
|
|
|
|
|
"t, h_inv = analyzer.h_inv(\n",
|
|
|
|
|
" secs=0.05,\n",
|
|
|
|
|
" dbRange=24,\n",
|
|
|
|
|
" kaiserBeta=5,\n",
|
|
|
|
|
" smoothing=15)\n",
|
|
|
|
|
"plt.plot(t, h_inv)\n",
|
|
|
|
|
"plt.grid()\n",
|
|
|
|
|
"# audio.play(h_inv / np.abs(h_inv).max())\n",
|
|
|
|
|
"# hifi.write_wav('IR.wav', audio.rate, h_inv)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 8,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2022-09-17 09:43:04 +00:00
|
|
|
"image/png": "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
|
2022-09-11 11:28:25 +00:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 864x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
|
|
|
|
},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"# Correction factor that h_inv applies for every frequency\n",
|
|
|
|
|
"corrFactor = analyzer.correctionFactor(h_inv)\n",
|
|
|
|
|
"plt.plot(*corrFactor)\n",
|
|
|
|
|
"plt.grid()"
|
|
|
|
|
]
|
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|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 9,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2022-09-17 09:43:04 +00:00
|
|
|
"image/png": "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
|
2022-09-11 11:28:25 +00:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 864x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
|
|
|
|
},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"# Expected corrected spectrum\n",
|
|
|
|
|
"sp1, sp2 = analyzer.correctedSpectrum(corrFactor)\n",
|
|
|
|
|
"plt.plot(*sp1)\n",
|
|
|
|
|
"plt.plot(*sp2)\n",
|
|
|
|
|
"plt.grid()"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 10,
|
2022-09-17 09:43:04 +00:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"image/png": "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
|
|
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 864x288 with 1 Axes>"
|
|
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|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
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|
|
|
},
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|
"output_type": "display_data"
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|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"# Setting mic calibration or target curve\n",
|
|
|
|
|
"calibration = [(20, -1.5), (150, 0), (4500, 0), (10000, 4), (17000, 0), (20000, -2)]\n",
|
|
|
|
|
"target = [(100, -5), (500, 10), (1000, -10), (2000, 10), (4000, 10), (10000, 5)]\n",
|
|
|
|
|
"#target = hifi.read_correction('house.txt')\n",
|
|
|
|
|
"analyzer = hifi.Analyzer(\n",
|
|
|
|
|
" f0=20, f1=20000, secs=1, rate=audio.rate, ampl=0.4,\n",
|
|
|
|
|
" calibration=calibration, target=target)\n",
|
|
|
|
|
"\n",
|
|
|
|
|
"# Interpolated calibration/target curves\n",
|
|
|
|
|
"freq = analyzer.frequency()\n",
|
|
|
|
|
"cal = analyzer.calibration()\n",
|
|
|
|
|
"tgt = analyzer.target()\n",
|
|
|
|
|
"r = analyzer.freqRange()\n",
|
|
|
|
|
"plt.semilogx(freq[r], cal[r])\n",
|
|
|
|
|
"plt.semilogx(freq[r], tgt[r])\n",
|
|
|
|
|
"plt.grid()"
|
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|
|
|
]
|
|
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|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 11,
|
2022-09-11 11:28:25 +00:00
|
|
|
"metadata": {
|
|
|
|
|
"tags": []
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|
|
|
},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2022-09-17 09:43:04 +00:00
|
|
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAsUAAAD8CAYAAACfIdlUAAAAPHRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMHJjMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/RjVi6AAAACXBIWXMAAAsTAAALEwEAmpwYAAAwt0lEQVR4nO3dd3iUVdrH8e+ZSYM0SAUSCCWE3gMREAgiCCgq6CqiWF4BG7qWtevqWhC7rmVdFEVRRCy4Kk1RQEBaAKWHXkIPPUD6ef8IjgkEDSSZCZnf57pyXTnPnHnmDssxN2fv5z7GWouIiIiIiDdzeDoAERERERFPU1IsIiIiIl5PSbGIiIiIeD0lxSIiIiLi9ZQUi4iIiIjXU1IsIiIiIl7Px9MBAERERNi6det6OgyREjl69CiBgYGeDkOkwtNaESkZrRX3Wrx4cbq1NvLk6x5Nio0x/YB+8fHxpKSkeDIUkRKbOXMmycnJng5DpMLTWhEpGa0V9zLGbCnuukfLJ6y131prh4WGhnoyDBERERHxcqopFhERERGvp6RYRERERLyeR5NiY0w/Y8yoQ4cOeTIMEREREfFyqikWEREREa+n8gkRERER8XoVok+xt8vIymXDngwOZ+ZQu3pVYqpXwdepf6+IiIiIuEuF6VPsbZanHeKTBVuYmbqXXYczi7zmMNAiJpShXevTp3lNnA7joShFREREvINHk2Jr7bfAt4mJiUM9GYe7WGuZsmIX78zawLK0Q1TxdXJh02ia1AymQWQQIQG+bDtwjK37jjF5+U6Gj1tK3fBUHunbhF7Nang6fBEREZFKS+UTbrJxbwZPfLOS2evSiY8K4qnLmnF5mxhCAnyLzOtIOAD39Ezg+5W7eP3HdQwbu5h7Lkzgrh7xGKNdYxEREZGypqS4nOXlW96asZ43f1qPv4+DJ/s15brz4vD5i5php8PQp0VNujeO4pGvlvPq9LWs23OEl/7WigBfp5uiFxEREfEOSorLUXpGFn8fv5S56/fRr1UtHr+kCVHBAWd0jwBfJy9f1YqEGsE8P3VNQZI9qC0O1RmLiIiIlBk9aFdOUjbvZ/i4pRw4ls0LV7Tkqva1z/pexhhu7dYApzE8O3k1L36fyoO9G5dhtCIiIiLeTYd3lIMvFqcxcNR8AnwdTLy9c6kS4sKGdKnHoKQ6/GfmBiYs2lYm9xQRERERlU+UKWstb/60npd/WMv58RG8fV3bUx6kKw1jDP+6tBnb9h/j0a+X07RWCM1jKtc/KEREREQ8QSdElJHcvHwembiCl39Yy4A2Mbx/Y/syTYh/5+t08MY1bQgP9Oeu8Us5np1X5p8hIiIi4m2UFJeBrNw87hi3hE8XbuX25Aa8fFUr/HzK74+2WlU/XrmqFZvSj/L0pFXl9jkiIiIi3kJJcSll5uRx69jFTFu5myf6NeWB3o3d0ku4U3wEw7rUZ9yCrXy/ctdZ38dai7W2DCMTEREROfeoprgUjmfnMfSjFOZuSGdE/xYMSqrj1s+/r1cj5m5I58Evl9G6djWiQkre7m1Z2kE+XbiN75btICTAl55No7nuvDjio4LKMWIRERGRismjO8XGmH7GmFGHDh3yZBhn5WhWLjd+sJBfNqTz4pWt3J4QA/j5OHjt6jYcz8njvs9/Iz//r3d8rbWM+nkDl701l6+XbueCxlE0qRnCuIVbGfD2XFZsP/f+txAREREpLbVkOwuZOXkM+TCFRZv389rANlzZLtZjscRHBfH4JU2ZvS6d9+du+tO5OXn5PPTlckZMXkPf5jVZ+GgPXh/YhvduSOTHe7sRHODL4NELWL3zsJuiFxEREakYVFN8hrJy8xg2djHzN+3jlatac2mrWp4OiUEd6tCzaTTPT13D9FW7i52TmZPHLWMX81nKNu68IJ43rmlDcKHuGLXDqjJuaBL+Pk6GfpRCRlauu8IXERER8TglxWcgJy+fOz5Zys9r9/L8gJZc3ibG0yEBBf2LX/pbK5rWDOG2Txbz4+qiifG+jCyuH72QGal7eOby5tzXq1Gxx0THhQfyxqA2bD94nBGTV7srfBERERGP04N2JZSbl8/d439l+urdPH1ZszI7pa6shFbx5aObkxg8egG3fbyEq9rH0rF+BKm7jzB69kaycvP598A29PuLne32dcMYcn493p29id7NatA1IfK0c+dt2MfM1D3EVK9C90ZR1A6rWtY/loiIiIhbKCkugbx8y/1fLGPS8p08dnETBnes6+mQihVaxZexNyfxyFfLmbhkOx/P3wpA3xY1uLdnAvFRwSW6z329GjEjdS//+Pw3pvy9C+FB/kVez8rNY+SUNXwwdzMOA/kWqlddy4RbOtIwumSfISIiIlKRKCn+C/n5lkcnLmfi0u38o1cCQ7rU93RIfyq0ii9vXduWnLx8Vmw/RJC/zxknqgG+Tl4f2Jr+b/3C/V8sY/QNia7ey5k5edz28WJmpO7lho5xPNinMdv2H+e60Qu4bvQCvrytE7HVtWMsIiIi5xbVFP8Jay3/+nYl4xcVPJw2/IKGng6pxHydDtrUqX7WO7fNaoXySN/G/LRmD//6dhVHs3LZtv8YQz9KYUbqXp4b0IJ/Xdacqn4+NKoRzNibO3AsK4/7P1+mw0BERETknKOd4tOw1vLclDV8OG8LQ7vU496eCZ4Oye1u6FSXtXsyGPPLZv7363YOZ+biNIYXrmzJVYlFa6ob1wjh4b5NeGTicj5btI2BHYr2bV67+wgPfbmMnDxLUr0wHujduFyPwhYRERE5E0qKT+PVH9Yy6ueNXN8xjkf6NnHL0c0VjTGGEf1bcGW7WN6ZuYE6YVUZ0qU+NUKLPzlvYPvafPPbdp6dvJoO9cKoH1lwOt73K3dx92e/nthVDuK9OZvIzM3jmctbuPPHERERETktnWhXjDd/Wse/f1rPwPa1ebJfM69MiAtrW6c6o65P5LFLmp42IQZwOAwvXtkKP6eD699fyOqdhxm3YCu3fbKEhtHBTLrrfD4Zch63dKvPx/O3MmHRtmLvo/ILERERcTedaHeSd3/eyEvfr6V/mxie7d+i2H6+cnq1w6rywU3t2X80mz6vz+aRictJqhfGuCFJRIcUJNQPXNSYjvXDeeq7Vew4eNz13tU7D9P7tZ9p9NhUrn9/IZk5eZ76MURERMTLqKizkI/mbebZyau5uEVNXryyJU4lxGelZWw1vr6jM89f0YL3rk/kg5vaE+j/R6WO01FQl5yXb3noq+Vk5uSxZOsBrnl3PgeOZXNFu1hmr9vLXZ8uJT9fu8YiIiJS/lRTfMJni7byz/+tpGfTaF4b2Bofp/69UBoJ0cEk/Enni9phVXnk4iY8/vUKLnhpJrsOZ1IztArjhiYRFx5IfFQQT3+3inELt3LdeXEA7DqUyYvTUgmt4sugpDrERwW568cRERGRSk5JMTBxaRoPfbWcbgmRvDmoDb5KiN1i8HlxxIVV5dlJq+nWKIqH+zYmJMAXgP/rXJef1uxm5JQ1dEuI5Gh2LjePSWHf0SyshSkrdjL5ri5UD/Tz8E8hIiIilYHXJ8WTlu3kvgm/0bF+OP8d3A5/H6enQ/IqXRMiiz1K+vfOF31fn02f12eTk5dPSBVfvri1E9bCgP/M5YEvlzFqcDuMMcxYs4cvFqeREB3MXT3ivf7hSBERETkzXp0Uf79yF38fv5R2cdV574ZEAnyVEFckceGBTP57F57+bhUAzw1oSWRwwZHTD/ZuzDOTVjN6ziZ8HIYnv11FkL8Pk5bvxNfHcHtyvOs+2bn56oksIiIif8prk+JfNqQzfNxSmsWE8v6N7anq57V/FBVaXHgg793Q/pTrN59fj7nr03lm0moAejSO4u3r2vKPz5fx0rRUOjeIID4qiBGTVzMhZRv/17keD/VprB1kERERKZbXZoIJ0cFc0rImT/RrRvCJOlY5dxhjeP2aNkxetpOgAB96No3G38fJs/2bs2jTfu78dCnVq/qyYsdh2tSuxn9/3khYoB+3dGvAsexcfli1m5qhVehQL8zTP4qIiIhUAF6bFEcE+fPK1a09HYaUQkiA7ynHSYcE+PL6wNY
|
2022-09-11 11:28:25 +00:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 864x288 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {
|
|
|
|
|
"needs_background": "light"
|
|
|
|
|
},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
|
|
|
|
"# Power distribution of the chirp\n",
|
|
|
|
|
"x = analyzer.chirp\n",
|
|
|
|
|
"y = np.abs(np.fft.rfft(x)) ** 2\n",
|
|
|
|
|
"f = np.linspace(0, analyzer.rate / 2, y.size)\n",
|
|
|
|
|
"r = analyzer.freqRange(f.size)\n",
|
|
|
|
|
"plt.loglog(f[r], y[r])\n",
|
|
|
|
|
"plt.grid()"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 12,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"# Play some tones\n",
|
|
|
|
|
"tones = [0.4 * hifi.tone(440 * i, 0.1, audio.rate) for i in range(1, 12)]\n",
|
|
|
|
|
"for tone in tones:\n",
|
|
|
|
|
" audio.play(tone)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": 13,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"# Create a missing fundamental of 20 Hz\n",
|
|
|
|
|
"# https://en.wikipedia.org/wiki/Missing_fundamental\n",
|
|
|
|
|
"tones = [hifi.tone(20 * i, 2, audio.rate) / i for i in range(6, 22)]\n",
|
|
|
|
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"for chord in np.cumsum(tones[::-1], 0):\n",
|
|
|
|
|
" chord /= np.abs(chord).max()\n",
|
|
|
|
|
" audio.play(chord)"
|
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|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2022-09-17 09:43:04 +00:00
|
|
|
"execution_count": 14,
|
2022-09-11 11:28:25 +00:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
|
|
|
"source": [
|
|
|
|
|
"audio.close()"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
|
|
|
|
"execution_count": null,
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [],
|
|
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|
|
"source": []
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"metadata": {
|
|
|
|
|
"kernelspec": {
|
|
|
|
|
"display_name": "Python 3",
|
|
|
|
|
"language": "python",
|
|
|
|
|
"name": "python3"
|
|
|
|
|
},
|
|
|
|
|
"language_info": {
|
|
|
|
|
"codemirror_mode": {
|
|
|
|
|
"name": "ipython",
|
|
|
|
|
"version": 3
|
|
|
|
|
},
|
|
|
|
|
"file_extension": ".py",
|
|
|
|
|
"mimetype": "text/x-python",
|
|
|
|
|
"name": "python",
|
|
|
|
|
"nbconvert_exporter": "python",
|
|
|
|
|
"pygments_lexer": "ipython3",
|
2022-09-17 09:43:04 +00:00
|
|
|
"version": "3.11.0rc2"
|
2022-09-11 11:28:25 +00:00
|
|
|
}
|
|
|
|
|
},
|
|
|
|
|
"nbformat": 4,
|
|
|
|
|
"nbformat_minor": 4
|
|
|
|
|
}
|
