Speech_Recognition_Google.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import speech_recognition as sr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's talk about something...\n",
      "You've said : hello Google WhatsApp aunty\n"
     ]
    }
   ],
   "source": [
    "rec = sr.Recognizer()\n",
    "\n",
    "with sr.Microphone() as mic:\n",
    "    rec.adjust_for_ambient_noise(mic)\n",
    "    print(\"Let's talk about something...\")\n",
    "    audio = rec.listen(mic)\n",
    "    \n",
    "    try:\n",
    "        print(\"You've said : \"+rec.recognize_google(audio))\n",
    "    except Exception as e:\n",
    "        print(\"Error occured -> \" + str(e))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's talk about something...\n",
      "You've said : hey everybody what's up\n",
      "Saved successfully.\n"
     ]
    }
   ],
   "source": [
    "rec = sr.Recognizer()\n",
    "\n",
    "with sr.Microphone() as mic:\n",
    "    rec.adjust_for_ambient_noise(mic)\n",
    "    print(\"Let's talk about something...\")\n",
    "    audio = rec.listen(mic)\n",
    "    \n",
    "    try:\n",
    "        print(\"You've said : \"+rec.recognize_google(audio))\n",
    "    except Exception as e:\n",
    "        print(\"Error occured -> \" + str(e))\n",
    "        \n",
    "    with open(\"unnamed.wav\", \"wb\") as f:\n",
    "        f.write(audio.get_wav_data())\n",
    "        print(\"Saved successfully.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "af - afrikaans\n",
      "sq - albanian\n",
      "am - amharic\n",
      "ar - arabic\n",
      "hy - armenian\n",
      "az - azerbaijani\n",
      "eu - basque\n",
      "be - belarusian\n",
      "bn - bengali\n",
      "bs - bosnian\n",
      "bg - bulgarian\n",
      "ca - catalan\n",
      "ceb - cebuano\n",
      "ny - chichewa\n",
      "zh-cn - chinese (simplified)\n",
      "zh-tw - chinese (traditional)\n",
      "co - corsican\n",
      "hr - croatian\n",
      "cs - czech\n",
      "da - danish\n",
      "nl - dutch\n",
      "en - english\n",
      "eo - esperanto\n",
      "et - estonian\n",
      "tl - filipino\n",
      "fi - finnish\n",
      "fr - french\n",
      "fy - frisian\n",
      "gl - galician\n",
      "ka - georgian\n",
      "de - german\n",
      "el - greek\n",
      "gu - gujarati\n",
      "ht - haitian creole\n",
      "ha - hausa\n",
      "haw - hawaiian\n",
      "iw - hebrew\n",
      "hi - hindi\n",
      "hmn - hmong\n",
      "hu - hungarian\n",
      "is - icelandic\n",
      "ig - igbo\n",
      "id - indonesian\n",
      "ga - irish\n",
      "it - italian\n",
      "ja - japanese\n",
      "jw - javanese\n",
      "kn - kannada\n",
      "kk - kazakh\n",
      "km - khmer\n",
      "ko - korean\n",
      "ku - kurdish (kurmanji)\n",
      "ky - kyrgyz\n",
      "lo - lao\n",
      "la - latin\n",
      "lv - latvian\n",
      "lt - lithuanian\n",
      "lb - luxembourgish\n",
      "mk - macedonian\n",
      "mg - malagasy\n",
      "ms - malay\n",
      "ml - malayalam\n",
      "mt - maltese\n",
      "mi - maori\n",
      "mr - marathi\n",
      "mn - mongolian\n",
      "my - myanmar (burmese)\n",
      "ne - nepali\n",
      "no - norwegian\n",
      "ps - pashto\n",
      "fa - persian\n",
      "pl - polish\n",
      "pt - portuguese\n",
      "pa - punjabi\n",
      "ro - romanian\n",
      "ru - russian\n",
      "sm - samoan\n",
      "gd - scots gaelic\n",
      "sr - serbian\n",
      "st - sesotho\n",
      "sn - shona\n",
      "sd - sindhi\n",
      "si - sinhala\n",
      "sk - slovak\n",
      "sl - slovenian\n",
      "so - somali\n",
      "es - spanish\n",
      "su - sundanese\n",
      "sw - swahili\n",
      "sv - swedish\n",
      "tg - tajik\n",
      "ta - tamil\n",
      "te - telugu\n",
      "th - thai\n",
      "tr - turkish\n",
      "uk - ukrainian\n",
      "ur - urdu\n",
      "uz - uzbek\n",
      "vi - vietnamese\n",
      "cy - welsh\n",
      "xh - xhosa\n",
      "yi - yiddish\n",
      "yo - yoruba\n",
      "zu - zulu\n",
      "fil - Filipino\n",
      "he - Hebrew\n"
     ]
    }
   ],
   "source": [
    "from googletrans import LANGUAGES\n",
    "\n",
    "for lang in LANGUAGES:\n",
    "    print(f'{lang} - {LANGUAGES[lang]}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from googletrans import Translator\n",
    "\n",
    "trans = Translator()\n",
    "t = trans.translate(\"Günaydın\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'tr'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.src"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'en'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.dest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Good Morning'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hey everybody what's up\n"
     ]
    }
   ],
   "source": [
    "en_text = rec.recognize_google(audio)\n",
    "print(en_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open(\"en_text.txt\", \"w+\")\n",
    "f.write(en_text)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hola a todos lo que pasa'"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "es_text = trans.translate(en_text, src = \"en\", dest  = \"es\")\n",
    "es_text.text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"hey everybody what's up\""
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "es_text.origin"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open(\"es_text.txt\", \"w+\")\n",
    "f.write(es_text.text)\n",
    "f.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you have any question, i will be happy to hear it."
   ]
  }
 ],
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