MFCC_RandomForest_RAVDESS.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "MFCC_RandomForest_RAVDESS.ipynb",
      "provenance": [],
      "collapsed_sections": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZT7TqXHpJtqX"
      },
      "source": [
        "## Importing required modules"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "tRi5pACarOyb"
      },
      "source": [
        "! pip install pysndfx\n",
        "! apt-get install sox\n",
        "! pip install sox"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oPkHwTFO7Gv3"
      },
      "source": [
        "import scipy.io.wavfile # for handling audio files\n",
        "from scipy.fftpack import dct\n",
        "import librosa\n",
        "import numpy as np\n",
        "import os\n",
        "from glob import glob\n",
        "import pandas as pd\n",
        "import warnings\n",
        "import IPython.display as ipd\n",
        "from pysndfx import AudioEffectsChain\n",
        "import sox\n",
        "import cv2\n",
        "\n",
        "import matplotlib.pyplot as plt  #Graphics\n",
        "import seaborn as sns\n",
        "from sklearn.ensemble import RandomForestClassifier  #Random Forest algorithm\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "from sklearn.model_selection import RandomizedSearchCV, GridSearchCV \n",
        "from sklearn.model_selection import cross_val_score\n",
        "\n",
        "\n",
        "warnings.filterwarnings('ignore')\n",
        "#To show graphs within the notebook\n",
        "%matplotlib inline "
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D5ozqksxKBSa"
      },
      "source": [
        "## Augment the data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IcgzNlAW8AJg"
      },
      "source": [
        "def white_noise(signal):\n",
        "    wn = np.random.randn(len(signal))\n",
        "    signal_wn = signal + 0.005*wn\n",
        "    return signal_wn\n",
        "\n",
        "\n",
        "def change_pitch(signal, sample_rate):\n",
        "    signal = signal.astype('float32')\n",
        "    signal = librosa.effects.pitch_shift(\n",
        "        signal, sample_rate, n_steps=4, bins_per_octave=24)\n",
        "    return signal.astype('int16')\n",
        "\n",
        "\n",
        "def reverb(signal):\n",
        "    fx = (AudioEffectsChain().reverb())\n",
        "    signal_reverb = fx(signal)\n",
        "    return signal_reverb\n",
        "\n",
        "\n",
        "def change_speed(signal):\n",
        "    speed_rate = np.random.uniform(0.85, 1.15)\n",
        "    signal_speed = cv2.resize(\n",
        "        signal, (1, int(len(signal) * speed_rate))).squeeze()\n",
        "    return signal_speed"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0D2dNlCGJ5XX"
      },
      "source": [
        "## Find MFCC features "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "421zbJlz62Bt"
      },
      "source": [
        "def get_mfcc_features(audio_path, audio_length, dim, enhance=[0, 0, 0, 0]):\n",
        "\n",
        "    pre_emphasis = 0.97\n",
        "    frame_size = 0.01\n",
        "    frame_stride = 0.01\n",
        "    NFFT = 512\n",
        "\n",
        "    sample_rate, signal = scipy.io.wavfile.read(\n",
        "        audio_path)  # Read the audio file\n",
        "    \n",
        "    signals = [signal]\n",
        "    # Add white noise\n",
        "    if enhance[0] == 1:\n",
        "        signals.append(white_noise(signal))\n",
        "    # Change pitch\n",
        "    if enhance[1] == 1:\n",
        "        signals.append(change_pitch(signal, sample_rate))\n",
        "    # Add reverb\n",
        "    if enhance[2] == 1:\n",
        "        signals.append(reverb(signal))\n",
        "    # Change speed\n",
        "    if enhance[3] == 1:\n",
        "        signals.append(change_speed(signal))\n",
        "\n",
        "    mfccs = []\n",
        "    for signal in signals:\n",
        "        signal = signal[0:int(audio_length * sample_rate)]  # audio length\n",
        "        emphasized_signal = np.append(\n",
        "            signal[0], signal[1:] - pre_emphasis * signal[:-1])\n",
        "        frame_length, frame_step = frame_size * sample_rate, frame_stride * \\\n",
        "            sample_rate  # Convert from seconds to samples\n",
        "\n",
        "        signal_length = len(emphasized_signal)\n",
        "        frame_length = int(round(frame_length))  # Frame size=1ms\n",
        "        frame_step = int(round(frame_step))  # stride=1ms\n",
        "        # Make sure that we have at least 1 frame\n",
        "        num_frames = int(np.ceil(\n",
        "            float(np.abs(signal_length - frame_length)) / frame_step))\n",
        "\n",
        "        pad_signal_length = num_frames * frame_step + frame_length\n",
        "        z = np.zeros((pad_signal_length - signal_length))\n",
        "        # Pad Signal to make sure that all frames have equal number of samples without truncating any samples from the original signal\n",
        "        pad_signal = np.append(emphasized_signal, z)\n",
        "\n",
        "        indices = np.tile(np.arange(0, frame_length), (num_frames, 1)) + np.tile(\n",
        "            np.arange(0, num_frames * frame_step, frame_step), (frame_length, 1)).T\n",
        "        frames = pad_signal[indices.astype(np.int32, copy=False)]\n",
        "        frames *= np.hamming(frame_length)\n",
        "        mag_frames = np.absolute(np.fft.rfft(\n",
        "            frames, NFFT))  # Magnitude of the FFT\n",
        "        pow_frames = ((1.0 / NFFT) * ((mag_frames) ** 2))  # Power Spectrum\n",
        "\n",
        "        nfilt = 41\n",
        "        low_freq_mel = 0\n",
        "        # Convert Hz to Mel\n",
        "        high_freq_mel = (2595 * np.log10(1 + (sample_rate / 2) / 700))\n",
        "        # Equally spaced in Mel scale\n",
        "        mel_points = np.linspace(low_freq_mel, high_freq_mel, nfilt + 2)\n",
        "        hz_points = (700 * (10**(mel_points / 2595) - 1))  # Convert Mel to Hz\n",
        "        bin = np.floor((NFFT + 1) * hz_points / sample_rate)\n",
        "\n",
        "        fbank = np.zeros((nfilt, int(np.floor(NFFT / 2 + 1))))\n",
        "\n",
        "        for m in range(1, nfilt + 1):\n",
        "            f_m_minus = int(bin[m - 1])   # left\n",
        "            f_m = int(bin[m])             # center\n",
        "            f_m_plus = int(bin[m + 1])    # right\n",
        "\n",
        "            for k in range(f_m_minus, f_m):\n",
        "                fbank[m - 1, k] = (k - bin[m - 1]) / (bin[m] - bin[m - 1])\n",
        "            for k in range(f_m, f_m_plus):\n",
        "                fbank[m - 1, k] = (bin[m + 1] - k) / (bin[m + 1] - bin[m])\n",
        "\n",
        "        filter_banks = np.dot(pow_frames, fbank.T)\n",
        "        filter_banks = np.where(filter_banks == 0, np.finfo(\n",
        "            float).eps, filter_banks)  # Numerical Stability\n",
        "        filter_banks = 20 * np.log10(filter_banks)  # dB\n",
        "\n",
        "        # Finding MFCC Features\n",
        "        num_ceps = dim\n",
        "        mfcc = dct(filter_banks, type=2, axis=1, norm='ortho')[\n",
        "            :, 1: (num_ceps + 1)]\n",
        "\n",
        "        # mfcc -= (np.mean(mfcc, axis=0) + 1e-8)  # mean normalized\n",
        "\n",
        "        # add \n",
        "        mfcc = np.mean(mfcc, axis=0)\n",
        "        mfccs.append(mfcc)\n",
        "\n",
        "    return mfccs"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jd9g9lsvKHsX"
      },
      "source": [
        "## Download the dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "m02J4rCLybl7",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c15e1c1d-55b9-4f2a-b6d5-d04388903bd4"
      },
      "source": [
        "! gdown https://drive.google.com/uc?id=1XkL0m34le7YJAg60yz65jBxF4ro6iYvp"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1XkL0m34le7YJAg60yz65jBxF4ro6iYvp\n",
            "To: /content/RAVDESS.zip\n",
            "101MB [00:02, 40.7MB/s] \n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4tNogsa7KUNo"
      },
      "source": [
        "## Unzip the dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "lQGAsKmmzbA0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "339e429f-7684-436a-ac30-502378a48b98"
      },
      "source": [
        "! unzip /content/RAVDESS.zip"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Archive:  /content/RAVDESS.zip\n",
            "   creating: RAVDESS/\n",
            "  inflating: RAVDESS/.DS_Store       \n",
            "   creating: __MACOSX/\n",
            "   creating: __MACOSX/RAVDESS/\n",
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            "   creating: RAVDESS/0/\n",
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          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vAHwYa5yTC9Y"
      },
      "source": [
        "## Plot audio file and listen to it"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i6x5LmX8TGtO",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "outputId": "e2db66d9-0368-411e-8ab1-ba53049d48f0"
      },
      "source": [
        "fname = '/content/RAVDESS/6/03-01-06-02-01-01-18.wav'\n",
        "data, sampling_rate = librosa.load(fname)\n",
        "\n",
        "time = np.arange(0,len(data)) / sampling_rate\n",
        "fig, ax = plt.subplots()\n",
        "ax.plot(time, data)\n",
        "ax.set(xlabel='Time(s)',ylabel='sound amplitude')\n",
        "\n",
        "# Lets play the audio \n",
        "ipd.Audio(fname)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "\n",
              "                <audio controls=\"controls\" >\n",
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KgwJGleLKXOO"
      },
      "source": [
        "## Load the audio files"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YJme0lfd3r_f"
      },
      "source": [
        "main_path = '/content/RAVDESS'\n",
        "\n",
        "dim = 40\n",
        "audio_length = 3\n",
        "\n",
        "audio_list_raw = []\n",
        "enhance = [0] * 4\n",
        "for class_ in glob(main_path + os.sep + '*'):\n",
        "    for audio_path in glob(class_+ os.sep + '*.wav'):\n",
        "        features = get_mfcc_features(audio_path, audio_length, dim, enhance)[0]\n",
        "        audio_list_raw.append([int(class_.split(os.sep)[-1]), *features])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "JCuVvy_Qwfsc"
      },
      "source": [
        "audio_list_augmented = []\n",
        "\n",
        "# Try permutations\n",
        "enhance = [1, 1, 1, 1]\n",
        "for class_ in glob(main_path + os.sep + '*'):\n",
        "    for audio_path in glob(class_+ os.sep + '*.wav'):\n",
        "        features_list = get_mfcc_features(audio_path, audio_length, dim, enhance)\n",
        "        for features in features_list:\n",
        "            audio_list_augmented.append([int(class_.split(os.sep)[-1]), *features])"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6Ni6n4NsKbJm"
      },
      "source": [
        "## Put the features inside a dataframe"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7QvU9zxc6CU5"
      },
      "source": [
        "cols = ['label', *[str(i+1) for i in range(len(audio_list_raw[0])-1)]]\n",
        "main_df_raw = pd.DataFrame(audio_list_raw, columns=cols)\n",
        "\n",
        "cols_augmented = ['label', *[str(i+1) for i in range(len(audio_list_augmented[0])-1)]]\n",
        "main_df_augmented = pd.DataFrame(audio_list_augmented, columns=cols_augmented)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "W3GwKFJv8769"
      },
      "source": [
        "df_x_raw = main_df_raw.iloc[:, 1 : ]\n",
        "df_y_raw = main_df_raw.iloc[:, 0]\n",
        "\n",
        "df_x_aug = main_df_augmented.iloc[:, 1 : ]\n",
        "df_y_aug = main_df_augmented.iloc[:, 0]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rnwJfQ1_KkPY"
      },
      "source": [
        "## Number of examples in each class"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GUmm070W-qCm",
        "outputId": "bd401236-de20-46f4-e820-b7586ac7171f"
      },
      "source": [
        "df_y_raw.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    5\n",
              "1    5\n",
              "2    5\n",
              "3    5\n",
              "4    5\n",
              "Name: label, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "urtE5hPD88y2",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 267
        },
        "outputId": "6e19f400-081e-4f55-d25d-f2d276559a93"
      },
      "source": [
        "# _ = sns.countplot(x=['calm', 'happy', 'sad', 'angry',' fearful', 'surprise', 'disgust'], data=df_y_raw)\r\n",
        "ax = sns.countplot(df_y_raw.values)\r\n",
        "_ = ax.set_xticklabels(['surprise', 'calm', 'angry', 'happy',' sad', 'disgust', 'fear'])\r\n",
        "_ = plt.savefig(\"RAVDESS.png\")"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9e0VSscYK6ro"
      },
      "source": [
        "## Split the dataset"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "qBWT_0d5AP7c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "319d843d-6ed8-4207-ad18-af4784974098"
      },
      "source": [
        "# Raw\n",
        "X_train_raw, X_test_raw, y_train_raw, y_test_raw = train_test_split(df_x_raw, df_y_raw, test_size=0.2, random_state=0)\n",
        "print('Shape of train data (raw):', X_train_raw.shape)\n",
        "print('Shape of train data (raw):', X_test_raw.shape)\n",
        "\n",
        "\n",
        "# Augmented\n",
        "X_train_aug, X_test_aug, y_train_aug, y_test_aug = train_test_split(df_x_aug, df_y_aug, test_size=0.2, random_state=0)\n",
        "print('Shape of train data (augmented):', X_train_aug.shape)\n",
        "print('Shape of train data (augmented):', X_test_aug.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Shape of train data (raw): (998, 40)\n",
            "Shape of train data (raw): (250, 40)\n",
            "Shape of train data (augmented): (4992, 40)\n",
            "Shape of train data (augmented): (1248, 40)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "BOoxVw8ILFh3"
      },
      "source": [
        "## Training random Forest"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yzE8RxpqCiRQ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "344e52bf-9877-4d16-e3db-d66288224041"
      },
      "source": [
        "# For raw\n",
        "rf_raw = RandomForestClassifier(n_estimators=100)\n",
        "rf_raw.fit(X_train_raw, y_train_raw)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,\n",
              "                       criterion='gini', max_depth=None, max_features='auto',\n",
              "                       max_leaf_nodes=None, max_samples=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, n_estimators=100,\n",
              "                       n_jobs=None, oob_score=False, random_state=None,\n",
              "                       verbose=0, warm_start=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "jb76Q1I510fp",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "fbb87212-ec83-4dcb-f60c-0162beaa2920"
      },
      "source": [
        "# For augmented\n",
        "rf_aug = RandomForestClassifier(n_estimators=100)\n",
        "rf_aug.fit(X_train_aug, y_train_aug)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "RandomForestClassifier(bootstrap=True, ccp_alpha=0.0, class_weight=None,\n",
              "                       criterion='gini', max_depth=None, max_features='auto',\n",
              "                       max_leaf_nodes=None, max_samples=None,\n",
              "                       min_impurity_decrease=0.0, min_impurity_split=None,\n",
              "                       min_samples_leaf=1, min_samples_split=2,\n",
              "                       min_weight_fraction_leaf=0.0, n_estimators=100,\n",
              "                       n_jobs=None, oob_score=False, random_state=None,\n",
              "                       verbose=0, warm_start=False)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "q7F894CQabG3"
      },
      "source": [
        "## Reports for the training set"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "U0uDkt6_aA-u",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e907372c-1897-43d0-bf1b-af0c52e77baa"
      },
      "source": [
        "pred_raw = rf_raw.predict(X_train_raw)\n",
        "print('Raw data')\n",
        "print(\"Classification Report\")\n",
        "print(classification_report(y_train_raw, pred_raw))\n",
        "print(\"Confusion Report\")\n",
        "print(confusion_matrix(y_train_raw, pred_raw))\n",
        "print('\\n\\nTrain accuracy:', rf_raw.score(X_train_raw, y_train_raw))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Raw data\n",
            "Classification Report\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      1.00      1.00       151\n",
            "           1       1.00      1.00      1.00        71\n",
            "           2       1.00      1.00      1.00       154\n",
            "           3       1.00      1.00      1.00       148\n",
            "           4       1.00      1.00      1.00       159\n",
            "           5       1.00      1.00      1.00       160\n",
            "           6       1.00      1.00      1.00       155\n",
            "\n",
            "    accuracy                           1.00       998\n",
            "   macro avg       1.00      1.00      1.00       998\n",
            "weighted avg       1.00      1.00      1.00       998\n",
            "\n",
            "Confusion Report\n",
            "[[151   0   0   0   0   0   0]\n",
            " [  0  71   0   0   0   0   0]\n",
            " [  0   0 154   0   0   0   0]\n",
            " [  0   0   0 148   0   0   0]\n",
            " [  0   0   0   0 159   0   0]\n",
            " [  0   0   0   0   0 160   0]\n",
            " [  0   0   0   0   0   0 155]]\n",
            "\n",
            "\n",
            "Train accuracy: 1.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wDpf4sAUoBw8",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "50b3c198-2fbe-48f5-bcdb-961336a6af6a"
      },
      "source": [
        "pred_aug = rf_aug.predict(X_train_aug)\n",
        "print('Augmented data')\n",
        "print(\"Classification Report\")\n",
        "print(classification_report(y_train_aug, pred_aug))\n",
        "print(\"Confusion Report\")\n",
        "print(confusion_matrix(y_train_aug, pred_aug))\n",
        "print('\\n\\nTrain accuracy:', rf_aug.score(X_train_aug, y_train_aug))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Augmented data\n",
            "Classification Report\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       1.00      1.00      1.00       762\n",
            "           1       1.00      1.00      1.00       384\n",
            "           2       1.00      1.00      1.00       780\n",
            "           3       1.00      1.00      1.00       765\n",
            "           4       1.00      1.00      1.00       774\n",
            "           5       1.00      1.00      1.00       773\n",
            "           6       1.00      1.00      1.00       754\n",
            "\n",
            "    accuracy                           1.00      4992\n",
            "   macro avg       1.00      1.00      1.00      4992\n",
            "weighted avg       1.00      1.00      1.00      4992\n",
            "\n",
            "Confusion Report\n",
            "[[762   0   0   0   0   0   0]\n",
            " [  0 384   0   0   0   0   0]\n",
            " [  0   0 780   0   0   0   0]\n",
            " [  0   0   0 765   0   0   0]\n",
            " [  0   0   0   0 774   0   0]\n",
            " [  0   0   0   0   0 773   0]\n",
            " [  0   0   0   0   0   0 754]]\n",
            "\n",
            "\n",
            "Train accuracy: 1.0\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NGlaILGPafVN"
      },
      "source": [
        "## Reports for the test set"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "v5Gg02eAC5l4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "2527b425-b4af-45db-fe68-561f0f140187"
      },
      "source": [
        "pred_raw = rf_raw.predict(X_test_raw)\n",
        "print('Raw test data')\n",
        "print(\"Classification Report\")\n",
        "print(classification_report(y_test_raw, pred_raw))\n",
        "print(\"Confusion Report\")\n",
        "print(confusion_matrix(y_test_raw, pred_raw))\n",
        "print('\\n\\nTest accuracy:', rf_raw.score(X_test_raw, y_test_raw))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Raw test data\n",
            "Classification Report\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.48      0.49      0.48        41\n",
            "           1       1.00      0.12      0.21        25\n",
            "           2       0.55      0.74      0.63        38\n",
            "           3       0.83      0.57      0.68        44\n",
            "           4       0.45      0.73      0.56        33\n",
            "           5       0.56      0.56      0.56        32\n",
            "           6       0.62      0.65      0.63        37\n",
            "\n",
            "    accuracy                           0.57       250\n",
            "   macro avg       0.64      0.55      0.54       250\n",
            "weighted avg       0.63      0.57      0.55       250\n",
            "\n",
            "Confusion Report\n",
            "[[20  0  8  2  5  5  1]\n",
            " [ 6  3  4  0 11  0  1]\n",
            " [ 5  0 28  0  1  2  2]\n",
            " [ 2  0  3 25  4  5  5]\n",
            " [ 3  0  2  0 24  1  3]\n",
            " [ 5  0  3  2  1 18  3]\n",
            " [ 1  0  3  1  7  1 24]]\n",
            "\n",
            "\n",
            "Test accuracy: 0.568\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dZAGPNcQpY5t",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "bdbfc89a-e127-4fc0-9526-3234d668a60b"
      },
      "source": [
        "pred_aug = rf_aug.predict(X_test_aug)\n",
        "print('Augmented test data')\n",
        "print(\"Classification Report\")\n",
        "print(classification_report(y_test_aug, pred_aug))\n",
        "print(\"Confusion Report\")\n",
        "print(confusion_matrix(y_test_aug, pred_aug))\n",
        "print('\\n\\nTest accuracy:', rf_aug.score(X_test_aug, y_test_aug))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Augmented test data\n",
            "Classification Report\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.67      0.73      0.70       198\n",
            "           1       0.83      0.57      0.68        96\n",
            "           2       0.69      0.79      0.74       180\n",
            "           3       0.71      0.70      0.71       195\n",
            "           4       0.68      0.75      0.71       186\n",
            "           5       0.80      0.82      0.81       187\n",
            "           6       0.86      0.71      0.78       206\n",
            "\n",
            "    accuracy                           0.74      1248\n",
            "   macro avg       0.75      0.73      0.73      1248\n",
            "weighted avg       0.74      0.74      0.74      1248\n",
            "\n",
            "Confusion Report\n",
            "[[144   3  14  10   8  16   3]\n",
            " [ 12  55  10   3  14   1   1]\n",
            " [  6   3 143  15   7   3   3]\n",
            " [ 12   1  15 137  15  10   5]\n",
            " [ 18   3   8   8 140   3   6]\n",
            " [ 10   0   8   4   6 153   6]\n",
            " [ 14   1   8  15  16   6 146]]\n",
            "\n",
            "\n",
            "Test accuracy: 0.7355769230769231\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dCtME9Adf9zr"
      },
      "source": [
        "# Test on some samples"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-eBQaAO0ktoe",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "outputId": "97b06908-ad9b-4bff-c98a-e65b0cbe403c"
      },
      "source": [
        "fname = '/content/RAVDESS/6/03-01-06-01-01-01-10.wav'\n",
        "data, sampling_rate = librosa.load(fname)\n",
        "\n",
        "time = np.arange(0,len(data)) / sampling_rate\n",
        "fig, ax = plt.subplots()\n",
        "ax.plot(time, data)\n",
        "ax.set(xlabel='Time(s)',ylabel='sound amplitude')\n",
        "\n",
        "# Lets play the audio \n",
        "ipd.Audio(fname)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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          "metadata": {
            "tags": []
          },
          "execution_count": 28
        },
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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Okm20QOmfH8j",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c2cc6de2-9a5c-4d6a-b57f-5b13e9f4f546"
      },
      "source": [
        "features = get_mfcc_features(fname, audio_length, dim)[0]\n",
        "pred = rf_aug.predict(np.expand_dims(features, axis=0))\n",
        "mappings = ['surprise', 'calm', 'angry', 'happy',' sad', 'disgust', 'fear']\n",
        "print('The class which the emotion belongs to is:', pred[0], mappings[pred[0]])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The class which the emotion belongs to is: 6 fear\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rA4FzOLTqP7l"
      },
      "source": [
        "# Translations for the emotions using the outputs of Bilingual Lexicon"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EA-SkA6sqXJi"
      },
      "source": [
        "dict_ = {\n",
        "  \"Hindi\": {\n",
        "    \"anger\": \"गुस्से\",\n",
        "    \"disgust\": \"घृणा\",\n",
        "    \"sad\": \"दुखी\",\n",
        "    \"neutral\": \"न्यूट्रल\",\n",
        "    \"fear\": \"डर\",\n",
        "    \"surprise\": \"आश्चर्य\",\n",
        "    \"calm\": \"शांत\",\n",
        "    \"happy\": \"खुश\"\n",
        "  },\n",
        "  \"Bengali\": {\n",
        "    \"anger\": \"রাগ\",\n",
        "    \"disgust\": \"ঘৃণা\",\n",
        "    \"sad\": \"দু:খিত\",\n",
        "    \"neutral\": \"নিরপেক্ষ\",\n",
        "    \"fear\": \"ভয়\",\n",
        "    \"surprise\": \"অবাক\",\n",
        "    \"calm\": \"শান্ত\",\n",
        "    \"happy\": \"খুশি\"\n",
        "  }\n",
        "}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QvIFyItKqdOO",
        "outputId": "cdf3a3eb-f725-4738-c81b-5744045ad456"
      },
      "source": [
        "print('The class which the emotion belongs to is (in Hindi):', dict_['Hindi'][mappings[pred[0]]])\n",
        "print('The class which the emotion belongs to is (in Bengali):', dict_['Bengali'][mappings[pred[0]]])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The class which the emotion belongs to is (in Hindi): डर\n",
            "The class which the emotion belongs to is (in Bengali): ভয়\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "H5Odrqwzuu7u"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}