simple-audio-recognition.ipynb

simple-audio-recognition.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true,
      "authorship_tag": "ABX9TyO26WFMWeDXIhDCkB/rpq6J",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU",
    "gpuClass": "standard"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/victor-iyi/5248218d68f2e8c0138d70657bb703fe/simple-audio-recognition.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Simple audio recognition: Recognizing keywords\n",
        "\n",
        "Process audio files in WAV format and build and trrain a basic [automatic speech recognition][asr] (ASR) model for recognizing ten different words. A portion of the Speech Commands dataset ([Warden, 2018][warden]) is used, which contains short (one-second or less) audio clips of commands such as \"down\", \"go\", \"left\", \"no\", \"right\", \"stop\", \"up\" and \"yes\".\n",
        "\n",
        "Real-world speech and audio recognition systems are complex. But like image classification with MNIST dataset, this goes over the basic tecniques involved.\n",
        "\n",
        "[asr]: https://en.wikipedia.org/wiki/Speech_recognition\n",
        "[warden]: https://arxiv.org/abs/1804.03209"
      ],
      "metadata": {
        "id": "lyoN_7UA-5WJ"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xpN1HYga-vQs",
        "outputId": "465b74dc-afe6-4d6f-b681-9c036368d96d"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "libcudnn8 is already the newest version (8.1.0.77-1+cuda11.2).\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-460\n",
            "Use 'apt autoremove' to remove it.\n",
            "0 upgraded, 0 newly installed, 0 to remove and 3 not upgraded.\n"
          ]
        }
      ],
      "source": [
        "# Upgrade environment to support TF 2.10 in Colab.\n",
        "!pip install -U --pre tensorflow tensorflow_datasets\n",
        "\n",
        "# Use cudnn 8.1 & cuda 11.2\n",
        "!apt install --allow-change-held-packages libcudnn8=8.1.0.77-1+cuda11.2"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Import dependencies.\n",
        "import os\n",
        "import pathlib\n",
        "import sys\n",
        "\n",
        "from typing import Dict, Optional, Tuple\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import tensorflow as tf\n",
        "\n",
        "from IPython import display\n",
        "\n",
        "# Set the seed value for experiment reproducibility\n",
        "seed = 42\n",
        "tf.random.set_seed(seed)\n",
        "np.random.seed(seed)\n",
        "\n",
        "print(f'Python version: {sys.version_info}')\n",
        "print(f'TF Version: {tf.__version__}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RnMe_MCjAXbw",
        "outputId": "68f649dd-7ed3-461a-b551-6160cbf59278"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Python version: sys.version_info(major=3, minor=7, micro=15, releaselevel='final', serial=0)\n",
            "TF Version: 2.11.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Import the mini Speech Commands dataset\n",
        "\n",
        "To save time with data loading, we'll be working with a smaller version of the Speech Commands dataset. The [original dataset] consists of over 105,000 audio files in the [WAV (Waveform) audio file format][wav] of people saying 35 different words. This data was collected by Google and released under a CC BY license.\n",
        "\n",
        "Download and extract the `mini_speech_commands.zip` file containing the smaller Speech Commands dataset with [`tf.keras.utils.get_file`][get_file]\n",
        "\n",
        "[orignial dataset]: https://www.tensorflow.org/datasets/catalog/speech_commands\n",
        "[wav]: https://www.aelius.com/njh/wavemetatools/doc/riffmci.pdf\n",
        "[get_file]: https://www.tensorflow.org/api_docs/python/tf/keras/utils/get_file"
      ],
      "metadata": {
        "id": "NqsHVfWYBD_i"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "DATASET_PATH = 'data/mini_speech_commands'\n",
        "DATASET_URL = 'http://storage.googleapis.com/download.tensorflow.org/data/mini_speech_commands.zip'\n",
        "\n",
        "data_dir = pathlib.Path(DATASET_PATH)\n",
        "\n",
        "# Download the dataset if it doesn't exist.\n",
        "if not data_dir.exists():\n",
        "  tf.keras.utils.get_file(\n",
        "      'mini_speech_commands.zip',\n",
        "      origin=DATASET_URL,\n",
        "      extract=True,\n",
        "      cache_dir='.',\n",
        "      cache_subdir='data',\n",
        "  )"
      ],
      "metadata": {
        "id": "zx0bbTq-CEkV"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "The dataset's audio clips are stored in eight folders corresponding to each command: `no`, `yes`, `down`, `go`, `left`, `up`, `right`, and `stop`."
      ],
      "metadata": {
        "id": "WBvPCzjIDisP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Display the commands (from directory names).\n",
        "commands = np.array(tf.io.gfile.listdir(str(data_dir)))\n",
        "commands = commands[commands != 'README.md']\n",
        "print(f'Commands: {commands}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "AZTOeuR4DEt8",
        "outputId": "ef4bc2f3-bb60-400b-dbba-88072e6b25ce"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Commands: ['right' 'yes' 'left' 'stop' 'up' 'go' 'no' 'down']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The audio clips are 1 second or less at 16kHz. The `output_sequence_length=16000` pads the short ones to exactly 1 second (and would trim longer ones) so that they can be easily batched."
      ],
      "metadata": {
        "id": "mkqCOVo4EZAN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "train_ds, val_ds = tf.keras.utils.audio_dataset_from_directory(\n",
        "    directory=data_dir,\n",
        "    batch_size=64,\n",
        "    validation_split=0.2,\n",
        "    seed=0,\n",
        "    output_sequence_length=16000,\n",
        "    subset='both',\n",
        ")\n",
        "\n",
        "label_names = np.array(train_ds.class_names)\n",
        "print(f'\\nTrain label names: {label_names}')\n",
        "print(f'Val label names: {val_ds.class_names}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6d7or1SNFsvl",
        "outputId": "66009fbc-3693-4f4b-a7c5-b9d864b2638a"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 8000 files belonging to 8 classes.\n",
            "Using 6400 files for training.\n",
            "Using 1600 files for validation.\n",
            "\n",
            "Train label names: ['down' 'go' 'left' 'no' 'right' 'stop' 'up' 'yes']\n",
            "Val label names: ['down', 'go', 'left', 'no', 'right', 'stop', 'up', 'yes']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The dataset now contains batches of audio clips and integer labels. The audo clips have a shape of `(batch, samples, channels)`."
      ],
      "metadata": {
        "id": "0Z7Ha3ylGveH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "print(train_ds)\n",
        "print(train_ds.element_spec)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-VNO-33cG3V1",
        "outputId": "1c67b1fb-19d3-4b5f-c6e0-0025ef3d3416"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<BatchDataset element_spec=(TensorSpec(shape=(None, 16000, None), dtype=tf.float32, name=None), TensorSpec(shape=(None,), dtype=tf.int32, name=None))>\n",
            "(TensorSpec(shape=(None, 16000, None), dtype=tf.float32, name=None), TensorSpec(shape=(None,), dtype=tf.int32, name=None))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "This dataset only contains single channel audio, so use the [`tf.squeeze`] function to drop the extra axis:\n",
        "\n",
        "[`tf.squeeze`]: https://www.tensorflow.org/api_docs/python/tf/squeeze"
      ],
      "metadata": {
        "id": "642w02v9HYGm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def squeeze(audio: tf.Tensor, labels: tf.Tensor) -> Tuple[tf.Tensor, tf.Tensor]:\n",
        "  \"\"\"Drop extra axis since dataset contains a single channel audio.\n",
        "\n",
        "  Arguments:\n",
        "    audio (tf.Tensor): The audio features with shape (None, 1600, None).\n",
        "    labels (tf.Tensor): The target labels with shape (None,).\n",
        "  \n",
        "  Returns:\n",
        "    tuple[tf.Tensor, tf.Tensor] - audio with shape (None, 16000) and,\n",
        "      target with shape (None,).\n",
        "  \"\"\"\n",
        "  audio = tf.squeeze(audio, axis=-1)\n",
        "  return audio, labels\n",
        "\n",
        "train_ds = train_ds.map(squeeze, tf.data.AUTOTUNE)\n",
        "val_ds = val_ds.map(squeeze, tf.data.AUTOTUNE)\n",
        "\n",
        "print(train_ds)\n",
        "print(val_ds)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7KpeggUfG4Rv",
        "outputId": "2a97880c-ecda-400d-f1a9-c96480e190f9"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<ParallelMapDataset element_spec=(TensorSpec(shape=(None, 16000), dtype=tf.float32, name=None), TensorSpec(shape=(None,), dtype=tf.int32, name=None))>\n",
            "<ParallelMapDataset element_spec=(TensorSpec(shape=(None, 16000), dtype=tf.float32, name=None), TensorSpec(shape=(None,), dtype=tf.int32, name=None))>\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The [`utils.audio_dataset_from_directory`] function only returns up to two splits. It's a good idea to keep a test set separate from the validation set. Ideally you'd keep it in a separate directory, but in this case we can use [`Dataset.shard`] to split the validatiion set into two halves. Note that iterating **any** shard will load **all** the data, and only keep it's fraction.\n",
        "\n",
        "[`utils.audio_dataset_from_directory`]: https://www.tensorflow.org/api_docs/python/tf/keras/utils/audio_dataset_from_directory\n",
        "[`Dataset.shard`]: https://www.tensorflow.org/api_docs/python/tf/data/Dataset#shard"
      ],
      "metadata": {
        "id": "yZYfjeaVRxe6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a separate test_ds.\n",
        "test_ds = val_ds.shard(num_shards=2, index=0)\n",
        "val_ds = val_ds.shard(num_shards=2, index=1)"
      ],
      "metadata": {
        "id": "ZL6VQczqI1Ac"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Label names.\n",
        "label_names[[1, 1, 3, 0]]"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0cg9Wa2dS-96",
        "outputId": "2ba9bc84-6dcd-458a-cfe4-1a374b791a02"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array(['go', 'go', 'no', 'down'], dtype='<U5')"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_audio(\n",
        "    audio: np.ndarray, labels: np.ndarray,\n",
        "    rows: int = 3, cols: int = 3,\n",
        "    figsize: Tuple[int, int] = (16, 9),\n",
        "    title: str = 'Speech commands in Waveform',\n",
        ") -> None:\n",
        "  \"\"\"Plot few audio samples with corresponding label.\n",
        "\n",
        "  audio (np.ndarray): 2-D array representing the auido features.\n",
        "  labels (np.ndarray): 1-D array representing corresponding labels.\n",
        "  row (int, optional): Number of rows in the plot. Defaults to 3.\n",
        "  cols (int, optional): Number of cols in the plot. Defaults to 3.\n",
        "  figsize (tuple[int, int], optional): How big should the size of the plot be.\n",
        "    Defaults to (16, 9).\n",
        "  title (str, optional): Title of the plot.\n",
        "  \"\"\"\n",
        "  # Number of audio waves to display.\n",
        "  n = rows * cols\n",
        "  fig, axes = plt.subplots(rows, cols, figsize=figsize)\n",
        "\n",
        "  for i in range(n):\n",
        "    if i >= n:\n",
        "      break\n",
        "\n",
        "    row = i // cols\n",
        "    col = i % cols\n",
        "\n",
        "    ax = axes[row][col]\n",
        "    \n",
        "    ax.plot(audio[i].numpy())\n",
        "    ax.set_yticks(np.arange(-1.2, 1.2, 0.2))\n",
        "    ax.set_ylim([-1.1, 1.1])\n",
        "\n",
        "    label = label_names[labels[i]]\n",
        "    ax.set_title(label)    \n",
        "\n",
        "  plt.suptitle(title)\n",
        "  plt.show()"
      ],
      "metadata": {
        "id": "n50X5tIETFAW"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Get sample audio & label from train dataset.\n",
        "it = iter(train_ds.take(1))\n",
        "sample_audio, sample_label = next(it)\n",
        "\n",
        "print(f'waveform: {sample_audio.shape}')\n",
        "print(f'label: {sample_label.shape}')\n",
        "\n",
        "plot_audio(sample_audio, sample_label)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 613
        },
        "id": "nlK2cjlfT5S9",
        "outputId": "13e7a521-5f62-4cfc-a747-5d6fcd6e6d44"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "waveform: (64, 16000)\n",
            "label: (64,)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x648 with 9 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Convert waveforms to spectograms\n",
        "\n",
        "The waveforms in the dataset are represented in the time domain, Next, we'll transform the waveforms from the time-domain signals into the time-frequency-domain signals by computing the [short-time Fourier transform (STFT)][stft] to convert the waveforms to as [spectograms], which show frequency changes over time and can be represented as 2D images. We will feed the spectogram images into our neural network to train the model.\n",
        "\n",
        "A Fourier transform ([`tf.signal.fft`]) converts a signal to its component frequencies, but loses all time information. In comparison, STFT ([`tf.signal.stft`]) splits the signal into windows of time and runs a Fourier transform on each window, preserving some time information, and returning a 2D tensor that we can run standard convolutions on.\n",
        "\n",
        "[stft]: https://en.wikipedia.org/wiki/Short-time_Fourier_transform\n",
        "[spectograms]: https://en.wikipedia.org/wiki/Spectrogram\n",
        "[`tf.signal.fft`]: https://www.tensorflow.org/api_docs/python/tf/signal/fft\n",
        "[`tf.signal.stft`]: https://www.tensorflow.org/api_docs/python/tf/signal/stft"
      ],
      "metadata": {
        "id": "FSUe00CRZHgf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def get_spectogram(\n",
        "    waveform: tf.Tensor,\n",
        "    frame_length: int = 255,\n",
        "    frame_step: int = 128\n",
        ") -> tf.Tensor:\n",
        "  \"\"\"Converts waveform to spectograms.\n",
        "\n",
        "  NOTE:\n",
        "    - The waveforms need to be of the same length, so that when it is converted\n",
        "      into spectograms, the results have similar dimensions. Audio clips shorter\n",
        "      than 1 secs can be padded.\n",
        "    - When calling [`tf.signal.stft`], choose `frame_length` and `frame_step`\n",
        "      parameters such that the generated spectogram \"image\" is almost square.\n",
        "    - The STFT produces an array of complex numbers representing magnitude and\n",
        "      phase. However, magnitude is only used here which can be derived by\n",
        "      applying [`tf.abs`] on the [`tf.signal.stft`] output.\n",
        "\n",
        "  Arguments:\n",
        "    waveform (tf.Tensor): Raw waveform to convert.\n",
        "    frame_length (int, optional): The window length in samples.\n",
        "      Defaults to 255.\n",
        "    frame_step (int, optional): The number of sample step.\n",
        "      Defaults to 128.\n",
        "  \n",
        "  Returns:\n",
        "    tf.Tensor - Converted spectogram using Short-time Fourier Transoform (STFT).\n",
        "      Returns the same shape as the input.\n",
        "  \n",
        "  [`tf.signal.stft`]: https://www.tensorflow.org/api_docs/python/tf/signal/stft\n",
        "  [`tf.abs`]: https://www.tensorflow.org/api_docs/python/tf/math/abs\n",
        "  \"\"\"\n",
        "  # Convert the waveform to a spectogram via a STFT.\n",
        "  spectogram = tf.signal.stft(\n",
        "      waveform, frame_length=frame_length,\n",
        "      frame_step=frame_step,\n",
        "  )\n",
        "\n",
        "  # Obtain the magnitude of the STFT.\n",
        "  spectogram = tf.abs(spectogram)\n",
        "\n",
        "  # Add a `channels` dimension, so that the spectogram can be used as image-like\n",
        "  # input data with convolution layers, which expects shape of\n",
        "  # (`batch_size`, `height`, `channels`).\n",
        "  spectogram = spectogram[..., tf.newaxis]\n",
        "\n",
        "  return spectogram"
      ],
      "metadata": {
        "id": "ynGRAhOhWvJf"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def play_audio(\n",
        "    audio: np.ndarray,\n",
        "    labels: Optional[np.ndarray] = None,\n",
        "    n: int = 3, rate: int = 16000,\n",
        ") -> None:\n",
        "  \"\"\"Play audio in IPython Notebook.\n",
        "\n",
        "  Argument:\n",
        "    audio (np.ndarray): Audio signal of shape (batch_size, samples).\n",
        "    label (np.ndarray, optional): Corresponding label to audio.\n",
        "    n (int, optional): Number of audio to display. Defaults to 3.\n",
        "    rate (int, optional): Audio frame rate. Defaults 16000 or 16kHz.\n",
        "  \"\"\"\n",
        "  assert n < audio.shape[0], \"n must be less than the audio batch_size\"\n",
        "\n",
        "  for i in range(n):\n",
        "    waveform = audio[i]\n",
        "    spectogram = get_spectogram(waveform)\n",
        "\n",
        "    if labels is not None:\n",
        "      label = label_names[labels[i]]\n",
        "      print(f'Label: {label}')\n",
        "    print(f'Waveform shape: {waveform.shape}')\n",
        "    print(f'Spectogram shape: {spectogram.shape}')\n",
        "\n",
        "    print('Audio playback')\n",
        "    display.display(display.Audio(waveform, rate=rate))"
      ],
      "metadata": {
        "id": "JU5EbNVWeGM-"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Play 3 sample audio.\n",
        "play_audio(sample_audio, sample_label, n=3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 326
        },
        "id": "oyS3ib-SeHh8",
        "outputId": "9ef831a2-c765-4b54-ce60-e514fde13f7b"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Label: go\n",
            "Waveform shape: (16000,)\n",
            "Spectogram shape: (124, 129, 1)\n",
            "Audio playback\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ],
            "text/html": [
              "\n",
              "                <audio  controls=\"controls\" >\n",
              "                    <source 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\" type=\"audio/wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Label: no\n",
            "Waveform shape: (16000,)\n",
            "Spectogram shape: (124, 129, 1)\n",
            "Audio playback\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ],
            "text/html": [
              "\n",
              "                <audio  controls=\"controls\" >\n",
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type=\"audio/wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Label: left\n",
            "Waveform shape: (16000,)\n",
            "Spectogram shape: (124, 129, 1)\n",
            "Audio playback\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.lib.display.Audio object>"
            ],
            "text/html": [
              "\n",
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\" type=\"audio/wav\" />\n",
              "                    Your browser does not support the audio element.\n",
              "                </audio>\n",
              "              "
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_spectogram(spectogram: np.ndarray, ax: plt.Axes) -> None:\n",
        "  \"\"\"Plot spectogram on axis.\n",
        "\n",
        "  Arguments:\n",
        "    spectogram (np.ndarray): Spectogram of shape (batch_size, samples).\n",
        "    ax (plt.Axes): Axis to plot spectogram on.\n",
        "  \"\"\"\n",
        "  # Remove `channel` axis if it exist.\n",
        "  if len(spectogram.shape) > 2:\n",
        "    assert len(spectogram.shape) == 3\n",
        "    spectogram = np.squeeze(spectogram, axis=-1)\n",
        "  # Convert the frequencies to log scale and transpose, so that the time\n",
        "  # is represented on the x-axis (columns).\n",
        "  # Add an epsilon to avoid taking a log of zero.\n",
        "  log_spec = np.log(spectogram.T + np.finfo(float).eps)\n",
        "  height, width = log_spec.shape\n",
        "\n",
        "  x = np.linspace(0, np.size(spectogram), num=width, dtype=int)\n",
        "  y = range(height)\n",
        "\n",
        "  ax.set_title('Spectogram')\n",
        "  ax.pcolormesh(x, y, log_spec)\n",
        "  \n",
        "\n",
        "\n",
        "def plot_waveform(waveform: np.ndarray, ax: plt.Axes, rate: int = 16000) -> None:\n",
        "  \"\"\"Plot waveform on an axis.\n",
        "\n",
        "  Arguments:\n",
        "    waveform (np.ndarray): Audio singnal (wavform).\n",
        "    ax (plt.Axes): Axis to plot waveform on.\n",
        "    rate (int, optional): Audio frame rate. Defaults 16000 or 16kHz.\n",
        "  \"\"\"\n",
        "  timescale = np.arange(waveform.shape[0])\n",
        "  ax.plot(timescale, waveform)\n",
        "\n",
        "  ax.set_title('Waveform')\n",
        "  ax.set_xlim([0, rate])"
      ],
      "metadata": {
        "id": "LDTNMQAkgiR9"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_waveform_spectogram(\n",
        "    audio: np.ndarray, labels: np.ndarray, n: int = 1,\n",
        ") -> None:\n",
        "  \"\"\"Plot waveform over time and the corresponding spectogram\n",
        "  (frequencies over time).\n",
        "\n",
        "  Arguments:\n",
        "    audio (np.ndarray): Audio signal of shape (batch_size, samples).\n",
        "    label (np.ndarray, optional): Corresponding label to audio.\n",
        "    n (int, optional): Number of waveform/spectogram to display.\n",
        "      Defaults to 1.\n",
        "  \"\"\"\n",
        "  for i in range(n):\n",
        "    # Get Convert waveform into spectogram.\n",
        "    waveform = sample_audio[i]\n",
        "    spectogram = get_spectogram(waveform)\n",
        "    label = label_names[sample_label[i]]\n",
        "  \n",
        "    # Plot the waveform.\n",
        "    fig, axes = plt.subplots(2, figsize=(12, 8))\n",
        "    plot_waveform(waveform.numpy(), axes[0])\n",
        "\n",
        "    # Plot spectogram.\n",
        "    plot_spectogram(np.array(spectogram), axes[1])\n",
        "    \n",
        "\n",
        "    plt.suptitle(label.title())\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "Qn39_6vTiGs2"
      },
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plot_waveform_spectogram(sample_audio, sample_label, n=2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "04EQuL5CnMwI",
        "outputId": "086e98c6-2ef9-4ff5-aef3-2a7101b116d4"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 864x576 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def make_spec_ds(ds: tf.data.Dataset) -> tf.data.Dataset:\n",
        "  \"\"\"Converts waveform in dataset into spectogram.\n",
        "\n",
        "  Arguments:\n",
        "    ds (tf.data.Dataset): Dataset with waveform signals.\n",
        "  \n",
        "  Returns:\n",
        "    tf.data.Dataset - Dataset with spectograms.\n",
        "  \"\"\"\n",
        "  return ds.map(\n",
        "      map_func=lambda audio, label: (get_spectogram(audio), label),\n",
        "      num_parallel_calls=tf.data.AUTOTUNE,\n",
        "  )"
      ],
      "metadata": {
        "id": "DweKfyOFnR-M"
      },
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Convert dataset (with waveforms) into spectogram dataset.\n",
        "train_spec_ds = make_spec_ds(train_ds)\n",
        "val_sepc_ds = make_spec_ds(val_ds)\n",
        "test_spec_ds = make_spec_ds(test_ds)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "STEwEtoYst-i",
        "outputId": "548d680a-d129-4a4d-f685-94f5bf892668"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:tensorflow:From /usr/local/lib/python3.7/dist-packages/tensorflow/python/autograph/pyct/static_analysis/liveness.py:83: Analyzer.lamba_check (from tensorflow.python.autograph.pyct.static_analysis.liveness) is deprecated and will be removed after 2023-09-23.\n",
            "Instructions for updating:\n",
            "Lambda fuctions will be no more assumed to be used in the statement where they are used, or at least in the same block. https://github.com/tensorflow/tensorflow/issues/56089\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "it = iter(train_spec_ds.take(1))\n",
        "sample_spec, sample_spec_label = next(it)\n",
        "\n",
        "print(f'spectograms: {sample_spec.shape}')\n",
        "print(f'labels: {sample_spec_label.shape}')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KTmtezfpsxql",
        "outputId": "ce9dd8f4-076a-4c30-eb4e-3a2476c21604"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "spectograms: (64, 124, 129, 1)\n",
            "labels: (64,)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_specs(\n",
        "    spectograms: np.ndarray,\n",
        "    labels: np.ndarray,\n",
        "    rows: int = 3, cols: int = 3,\n",
        "    figsize: Tuple[int, int] = (16, 9),\n",
        ") -> None:\n",
        "  \"\"\"Plot multiple spectograms.\n",
        "\n",
        "  Arguments:\n",
        "    spectogram (np.ndarray): Spectogram of shape (batch_size, samples).\n",
        "    labels (np.ndarray): Corresponding label with shape (batch_size,)\n",
        "    row (int, optional): Number of rows in the plot. Defaults to 3.\n",
        "    cols (int, optional): Number of cols in the plot. Defaults to 3.\n",
        "    figsize (tuple[int, int], optional): How big should the size of the plot be.\n",
        "      Defaults to (16, 9).\n",
        "  \"\"\"\n",
        "  n = rows * cols\n",
        "  fig, axes = plt.subplots(rows, cols, figsize=figsize)\n",
        "\n",
        "  for i in range(n):\n",
        "    row = i // cols\n",
        "    col = i % cols\n",
        "    ax = axes[row][col]\n",
        "    plot_spectogram(spectograms[i].numpy(), ax)\n",
        "    ax.set_title(label_names[labels[i].numpy()])\n",
        "\n",
        "  plt.suptitle('Spectograms')\n",
        "  plt.show()"
      ],
      "metadata": {
        "id": "bcp3XgQgz98o"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plot_specs(sample_spec, sample_spec_label)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 582
        },
        "id": "F5B95n9f3F4U",
        "outputId": "f1561921-6708-4ac9-f7b9-783939e93695"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x648 with 9 Axes>"
            ],