SPEECHTRANSLATOR.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Importing Libraries:\n",
    "### Install the modules which we will be using in this project "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install speechrecognition pyttsx3 googletrans"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import speech_recognition as sr\n",
    "import pyttsx3\n",
    "from googletrans import Translator"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Speech Recognition"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define the Recognizer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "r = sr.Recognizer()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### If you get an error \"Microsoft Visual C++ 14.0 is required\" or \"PyAudio module not found\" then follow the steps in README.txt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Execute only if you get an error above\n",
    "# !pip install PyAudio-0.2.11-cp38-cp38-win_amd64.whl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define your microphone"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Remove the following comment to see your input devices\n",
    "# print(sr.Microphone.list_microphone_names())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "mic = sr.Microphone()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Recognize Speech"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with mic as source: \n",
    "   r.adjust_for_ambient_noise(source) \n",
    "   audio = r.listen(source) \n",
    "result = r.recognize_google(audio)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If you want to see your result, execute the following\n",
    "print(result)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Building the Translator\n",
    "## Define Translator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "p = Translator() \n",
    "k = p.translate(result, dest='spanish')\n",
    "# you can put any language in the destination attribute, I have used spanish"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Here we convert the translated result into a text format\n",
    "translated = str(k.text)\n",
    "print(translated)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Text to Speech Engine\n",
    "## Define Text to Speech Engine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "engine = pyttsx3.init()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Define the language of the translator\n",
    "#Here is the code to see the list of languages and their IDs, which we will need when we are defining the translator.\n",
    "#It is recommended to run this code before going to the next step.\n",
    "engine = pyttsx3.init() \n",
    "voices = engine.getProperty('voices') \n",
    "for voice in voices: \n",
    "  print(\"Voice:\") \n",
    "  print(\" - ID: %s\" % voice.id) \n",
    "  print(\" - Name: %s\" % voice.name) \n",
    "  print(\" - Languages: %s\" % voice.languages) \n",
    "  print(\" - Gender: %s\" % voice.gender) \n",
    "  print(\" - Age: %s\" % voice.age)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Define the speaker language\n",
    "### Copy the ID of the language that you want to use from the above code and paste it into your program."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Here I have used ID from my machine. Please use your ID in this code\n",
    "fr_voice_id = \"HKEY_LOCAL_MACHINE\\SOFTWARE\\Microsoft\\Speech\\Voices\\Tokens\\TTS_MS_EN-US_ZIRA_11.0\" \n",
    "engine.setProperty('voice', fr_voice_id)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# output the voice by the following\n",
    "engine.say(translated)\n",
    "engine.runAndWait()"
   ]
  }
 ],
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