examples/text/speech_transcription_example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "%matplotlib inline\n",
    "import os\n",
    "os.environ[\"CUDA_DEVICE_ORDER\"]=\"PCI_BUS_ID\";\n",
    "os.environ[\"CUDA_VISIBLE_DEVICES\"]=\"0\" "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2021-11-05 14:37:44--  https://github.com/amaiya/ktrain/blob/develop/ktrain/tests/text_data/sample.wav?raw=true\n",
      "Resolving github.com (github.com)... 140.82.112.3\n",
      "Connecting to github.com (github.com)|140.82.112.3|:443... connected.\n",
      "HTTP request sent, awaiting response... 302 Found\n",
      "Location: https://github.com/amaiya/ktrain/raw/develop/ktrain/tests/text_data/sample.wav [following]\n",
      "--2021-11-05 14:37:44--  https://github.com/amaiya/ktrain/raw/develop/ktrain/tests/text_data/sample.wav\n",
      "Reusing existing connection to github.com:443.\n",
      "HTTP request sent, awaiting response... 302 Found\n",
      "Location: https://raw.githubusercontent.com/amaiya/ktrain/develop/ktrain/tests/text_data/sample.wav [following]\n",
      "--2021-11-05 14:37:44--  https://raw.githubusercontent.com/amaiya/ktrain/develop/ktrain/tests/text_data/sample.wav\n",
      "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.109.133, 185.199.111.133, 185.199.110.133, ...\n",
      "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.109.133|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 23948 (23K) [audio/wav]\n",
      "Saving to: ‘/tmp/sample.wav’\n",
      "\n",
      "/tmp/sample.wav     100%[===================>]  23.39K  --.-KB/s    in 0s      \n",
      "\n",
      "2021-11-05 14:37:45 (59.0 MB/s) - ‘/tmp/sample.wav’ saved [23948/23948]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# get sample wav file\n",
    "!wget -O /tmp/sample.wav https://github.com/amaiya/ktrain/blob/develop/ktrain/tests/text_data/sample.wav?raw=true"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from ktrain.text.speech import Transcriber"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "transcriber = Transcriber()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Add the sum to the product of these three']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "afiles = ['/tmp/sample.wav']\n",
    "result = transcriber.transcribe(afiles)\n",
    "result"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
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