tutorial1_audio_intro.ipynb

tutorial1_audio_intro.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/andilabs/f90122f1f4cfd9edb1db34ea62fdf323/tutorial1_audio_intro.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# SOURCE of this notebook is https://publish.illinois.edu/augmentedlistening/tutorials/music-processing/tutorial-1-introduction-to-audio-processing-in-python/\n",
        "# Illinois Augmented Listening Laboratory - research team based in the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign."
      ],
      "metadata": {
        "id": "JC9v4FRKfTsg"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-PEpfBcqcrwD"
      },
      "source": [
        "## Import Libraries"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": true,
        "id": "yJs6wJsIcrwH"
      },
      "outputs": [],
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "from scipy.io.wavfile import read, write\n",
        "from IPython.display import Audio\n",
        "from numpy.fft import fft, ifft\n",
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Determine where you are"
      ],
      "metadata": {
        "id": "kzPaxOeDhFZ5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pwd\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yamiwLY2dCZp",
        "outputId": "69ced076-1918-4ffe-b4ca-0b00917d2efc"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "os.getcwd()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "id": "lnO4HQdJdGK-",
        "outputId": "6b342193-dfd1-41b5-f707-de9ae69c6d5f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "'/content'"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "string"
            }
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Mount Google Drive"
      ],
      "metadata": {
        "id": "cJhnsaUMhL4P"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K39zN-2OeBog",
        "outputId": "6133e901-7ee7-4a9f-dac4-7bfa1b16385d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Navigate to right place"
      ],
      "metadata": {
        "id": "Pyz08jXGhQDB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "os.chdir('/content/drive/My Drive/Colab Notebooks/python-audio-processing')\n"
      ],
      "metadata": {
        "id": "PgEBEmLRdW0s"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# List files inside the directory"
      ],
      "metadata": {
        "id": "-W3Ol8SGhTbo"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!ls -l"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RHPpujeRdFPr",
        "outputId": "6475fe27-96d3-4901-f6e3-954a62028a96"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "total 4296\n",
            "-rw------- 1 root root 1008044 Dec  3 00:53 output.wav\n",
            "-rw------- 1 root root 2016078 May  7  2019 test.wav\n",
            "-rw------- 1 root root 1374156 Dec  3 00:53 tutorial1_audio_intro.ipynb\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0Up7AwiUcrwJ"
      },
      "source": [
        "## Read Audio Input"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zGKXdydhcrwK"
      },
      "source": [
        "You can use scipy.io.wavefile to read and write a wav file. \n",
        "Usually audio file contains two channels (left and right). We will only keep one channel for simplicity. In the code below, \"data = data[:,0]\" will keep channel 0."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_V2AWpZgcrwL",
        "outputId": "3988e38b-b20e-4bcf-d252-f7f804d8225c"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Sampling Frequency is 48000\n"
          ]
        }
      ],
      "source": [
        "Fs, data = read('test.wav')\n",
        "\n",
        "data = data[:,0]\n",
        "\n",
        "print(\"Sampling Frequency is\", Fs)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "m6nL-REUcrwM"
      },
      "source": [
        "## Play Audio"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d-UI_IP8crwO"
      },
      "source": [
        "You can use IPython.display.Audio to play audio."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "2WW9vizRcrwO",
        "outputId": "93f91e78-b4fd-47ca-8b66-69f540c40771"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "\n",
              "                <audio controls=\"controls\" >\n",