Untitled2.ipynb

question_jp.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Untitled2.ipynb",
      "provenance": [],
      "mount_file_id": "1K34g79y88zabgPxkAgkClmJBJRO08tnn",
      "authorship_tag": "ABX9TyPtnPj5K3Q+l7r+3fblFN50",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/taroushirani/16bc581ab737ccc4ede80feb94c81620/untitled2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3TvuPDb3Ug-o",
        "colab_type": "code",
        "outputId": "09c59b8d-dfdc-4e9b-bc32-8a603fca138c",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 258
        }
      },
      "source": [
        "!pip install nnmnkwii"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Requirement already satisfied: nnmnkwii in /usr/local/lib/python3.6/dist-packages (0.0.20)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from nnmnkwii) (1.4.1)\n",
            "Requirement already satisfied: tqdm in /usr/local/lib/python3.6/dist-packages (from nnmnkwii) (4.41.1)\n",
            "Requirement already satisfied: bandmat>=0.7 in /usr/local/lib/python3.6/dist-packages (from nnmnkwii) (0.7)\n",
            "Requirement already satisfied: cython>=0.28.0 in /usr/local/lib/python3.6/dist-packages (from nnmnkwii) (0.29.17)\n",
            "Requirement already satisfied: fastdtw in /usr/local/lib/python3.6/dist-packages (from nnmnkwii) (0.3.4)\n",
            "Requirement already satisfied: pysptk>=0.1.17 in /usr/local/lib/python3.6/dist-packages (from nnmnkwii) (0.1.18)\n",
            "Requirement already satisfied: sklearn in /usr/local/lib/python3.6/dist-packages (from nnmnkwii) (0.0)\n",
            "Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from scipy->nnmnkwii) (1.18.4)\n",
            "Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from pysptk>=0.1.17->nnmnkwii) (1.12.0)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.6/dist-packages (from pysptk>=0.1.17->nnmnkwii) (4.4.2)\n",
            "Requirement already satisfied: scikit-learn in /usr/local/lib/python3.6/dist-packages (from sklearn->nnmnkwii) (0.22.2.post1)\n",
            "Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn->sklearn->nnmnkwii) (0.14.1)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Nhj186LhUnEY",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "from nnmnkwii.io import hts"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4Rk55bPYU7F5",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "binary_dict, continuous_dict = hts.load_question_set(\"/content/drive/My Drive/nnmnkwii_gallery/data/questions_jp.hed\")\n"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5FXG4WICVS6m",
        "colab_type": "code",
        "outputId": "9a015f2e-6426-445e-f4e8-cbbc98b0d5bf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "k2_re = continuous_dict[len(continuous_dict)-2]\n",
        "k3_re = continuous_dict[len(continuous_dict)-1]\n",
        "print(k2_re, k3_re)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "re.compile('\\\\+(\\\\d+)\\\\-') re.compile('\\\\-(\\\\d+)\\\\\\\\\\\\$')\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "uTMBOVljVnZX",
        "colab_type": "code",
        "outputId": "e0f4494f-0e1b-477e-9c41-e8eeb1aa0d59",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 105
        }
      },
      "source": [
        "import re\n",
        "with open(\"/content/drive/My Drive/nnmnkwii_gallery/data/NIT-ATR503/label_phone_align/nitech_jp_atr503_m001_a01.lab\", 'r') as f:\n",
        "    line = f.readline()\n",
        "    print(line)\n",
        "    matched = k2_re.search(line)\n",
        "    print(matched)\n",
        "    matched = k3_re.search(line)\n",
        "    print(matched)"
      ],
      "execution_count": 0,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "0 3900000 xx^xx-sil+a=r/A:xx+xx+xx/B:xx-xx_xx/C:xx_xx+xx/D:07+xx_xx/E:xx_xx!xx_xx-xx/F:xx_xx#xx_xx@xx_xx|xx_xx/G:4_3%0_xx_xx/H:xx_xx/I:xx-xx@xx+xx&xx-xx|xx+xx/J:2_9/K:2+5-26\n",
            "\n",
            "<_sre.SRE_Match object; span=(168, 171), match='+5-'>\n",
            "None\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}