realtime_spectrogram.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[&larr; Back to Index](index.html)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Real-time Spectrogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": [
     "hide_input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/jpeg": "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\n",
      "text/html": [
       "\n",
       "        <iframe\n",
       "            width=\"600\"\n",
       "            height=\"360\"\n",
       "            src=\"https://www.youtube.com/embed/ydu12NfZd90\"\n",
       "            frameborder=\"0\"\n",
       "            allowfullscreen\n",
       "        ></iframe>\n",
       "        "
      ],
      "text/plain": [
       "<IPython.lib.display.YouTubeVideo at 0x104fbc908>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import IPython.display as ipd\n",
    "ipd.YouTubeVideo('ydu12NfZd90', width=600, height=360)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is how you can create a real-time spectrogram in your terminal using [PyAudio](https://people.csail.mit.edu/hubert/pyaudio/)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To see the example in action, run the script in this repo, `realtime_spectrogram.py`:\n",
    "\n",
    "    python3 realtime_spectrogram.py"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The basic idea is simple. For every new audio buffer,\n",
    "\n",
    "1. Take an FFT, `x_fft`, of the audio buffer.\n",
    "2. Compute a `melspectrum` from the `x_fft`.\n",
    "2. Print a string, `s`, where `s[i]` is `'*'` wherever `melspectrum[i]` is above a threshold."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From here, you can manipulate this basic example to do more sophisticated real-time processing, e.g. involving machine learning models."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[&larr; Back to Index](index.html)"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "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",
   "version": "3.6.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}