Speech To Text .ipynb

{
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: sounddevice in c:\\users\\hp\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (0.4.5)\n",
      "Requirement already satisfied: CFFI>=1.0 in c:\\users\\hp\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from sounddevice) (1.15.1)\n",
      "Requirement already satisfied: pycparser in c:\\users\\hp\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from CFFI>=1.0->sounddevice) (2.21)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip available: 22.3 -> 22.3.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "pip install sounddevice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0b8780fc-08aa-4e37-80cb-47a8f1c0813a",
   "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: sounddevice in c:\\users\\hp\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (0.4.5)\n",
      "Requirement already satisfied: CFFI>=1.0 in c:\\users\\hp\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from sounddevice) (1.15.1)\n",
      "Requirement already satisfied: pycparser in c:\\users\\hp\\appdata\\local\\programs\\python\\python310\\lib\\site-packages (from CFFI>=1.0->sounddevice) (2.21)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip available: 22.3 -> 22.3.1\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "pip install sounddevice"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "771956f9-b632-43b3-ad21-fcbf824c6f68",
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv\n",
    "import queue\n",
    "import sounddevice as sd\n",
    "from vosk import Model, KaldiRecognizer\n",
    "import sys\n",
    "import json\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "2a1f5a2f-f5e1-4d54-944b-4b528ddd6b5a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Display input/output devices\n",
      "   0 Microsoft Sound Mapper - Input, MME (2 in, 0 out)\n",
      ">  1 Microphone Array (Intel® Smart , MME (2 in, 0 out)\n",
      "   2 Microsoft Sound Mapper - Output, MME (0 in, 2 out)\n",
      "<  3 Speaker (Realtek(R) Audio), MME (0 in, 2 out)\n",
      "   4 Primary Sound Capture Driver, Windows DirectSound (2 in, 0 out)\n",
      "   5 Microphone Array (Intel® Smart Sound Technology for Digital Microphones), Windows DirectSound (2 in, 0 out)\n",
      "   6 Primary Sound Driver, Windows DirectSound (0 in, 2 out)\n",
      "   7 Speaker (Realtek(R) Audio), Windows DirectSound (0 in, 2 out)\n",
      "   8 Speaker (Realtek(R) Audio), Windows WASAPI (0 in, 2 out)\n",
      "   9 Microphone Array (Intel® Smart Sound Technology for Digital Microphones), Windows WASAPI (2 in, 0 out)\n",
      "  10 Stereo Mix (Realtek HD Audio Stereo input), Windows WDM-KS (2 in, 0 out)\n",
      "  11 Headphones 1 (Realtek HD Audio 2nd output with SST), Windows WDM-KS (0 in, 2 out)\n",
      "  12 Headphones 2 (Realtek HD Audio 2nd output with SST), Windows WDM-KS (0 in, 2 out)\n",
      "  13 PC Speaker (Realtek HD Audio 2nd output with SST), Windows WDM-KS (2 in, 0 out)\n",
      "  14 Microphone (Realtek HD Audio Mic input), Windows WDM-KS (2 in, 0 out)\n",
      "  15 Speakers 1 (Realtek HD Audio output with SST), Windows WDM-KS (0 in, 2 out)\n",
      "  16 Speakers 2 (Realtek HD Audio output with SST), Windows WDM-KS (0 in, 2 out)\n",
      "  17 PC Speaker (Realtek HD Audio output with SST), Windows WDM-KS (2 in, 0 out)\n",
      "  18 Headset (@System32\\drivers\\bthhfenum.sys,#2;%1 Hands-Free%0\n",
      ";(lenovo)), Windows WDM-KS (0 in, 1 out)\n",
      "  19 Headset (@System32\\drivers\\bthhfenum.sys,#2;%1 Hands-Free%0\n",
      ";(lenovo)), Windows WDM-KS (1 in, 0 out)\n",
      "  20 Microphone Array 1 (), Windows WDM-KS (2 in, 0 out)\n",
      "  21 Microphone Array 2 (), Windows WDM-KS (2 in, 0 out)\n",
      "  22 Microphone Array 3 (), Windows WDM-KS (4 in, 0 out)\n",
      "  23 Headphones (), Windows WDM-KS (0 in, 2 out)\n"
     ]
    }
   ],
   "source": [
    "# list all audio devices known to your system\n",
    "print(\"Display input/output devices\")\n",
    "print(sd.query_devices())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "966da928-ba05-43da-a244-75bd37fd5a0d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Initial Default Device Number:1 Description: {'name': 'Microphone Array (Intel® Smart ', 'index': 1, 'hostapi': 0, 'max_input_channels': 2, 'max_output_channels': 0, 'default_low_input_latency': 0.09, 'default_low_output_latency': 0.09, 'default_high_input_latency': 0.18, 'default_high_output_latency': 0.18, 'default_samplerate': 44100.0}\n"
     ]
    }
   ],
   "source": [
    "# get the samplerate - this is needed by the Kaldi recognizer\n",
    "device_info = sd.query_devices(sd.default.device[0], 'input')\n",
    "samplerate = int(device_info['default_samplerate'])\n",
    "\n",
    "# display the default input device\n",
    "print(\"===> Initial Default Device Number:{} Description: {}\".format(sd.default.device[0], device_info))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b5ef6a94-165c-4de4-8966-9f413386e5e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "q = queue.Queue()\n",
    "\n",
    "def recordCallback(indata, frames, time, status):\n",
    "    if status:\n",
    "        print(status, file=sys.stderr)\n",
    "    q.put(bytes(indata))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "21d641e9-5271-49d4-b841-55ea846da490",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "===> Build the model and recognizer objects.  This will take a few minutes.\n",
      "===> Begin recording. Press Ctrl+C to stop the recording \n",
      "we have chosen dare not the most famous speeches that ends from celebrated while any crisis\n",
      "he remembered this celebrated with the next day may have had to give a speech in public\n",
      "scroll down to the end of disposed for what essential tips\n",
      "i have a dream to the\n",
      "i have it\n",
      "\n",
      "no input sound\n",
      "wish should wish ill defined our iceland whatever the cost merely\n",
      "we should fight on the beaches we still fight on the landing jones\n",
      "which i do not for the children body lavender\n",
      "we shall never surrender and even if which a to not for the moment believe\n",
      "i made myself we take up arms and myself when we were generally does and any word of everyone of to barked at in the field\n",
      "===> Finished Recording\n"
     ]
    }
   ],
   "source": [
    "# build the model and recognizer objects.\n",
    "print(\"===> Build the model and recognizer objects.  This will take a few minutes.\")\n",
    "model = Model(r\"C:\\Users\\HP\\Downloads\\vosk-model-small-en-us-0.15\\vosk-model-small-en-us-0.15\")\n",
    "recognizer = KaldiRecognizer(model, samplerate)\n",
    "recognizer.SetWords(False)\n",
    "\n",
    "print(\"===> Begin recording. Press Ctrl+C to stop the recording \")\n",
    "try:\n",
    "    with sd.RawInputStream(dtype='int16',\n",
    "                           channels=1,\n",
    "                           callback=recordCallback):\n",
    "        while True:\n",
    "           \n",
    "            data = q.get()        \n",
    "            if recognizer.AcceptWaveform(data):\n",
    "                recognizerResult = recognizer.Result()\n",
    "                # convert the recognizerResult string into a dictionary  \n",
    "                resultDict = json.loads(recognizerResult)\n",
    "                print(resultDict['text'])\n",
    "                if not resultDict.get(\"text\", \"\") == \"\":\n",
    "                    f=open(\"sentiment1.csv\",'a')\n",
    "                    print(resultDict['text'],file=f)\n",
    "                    f.close()\n",
    "                   \n",
    "                else:\n",
    "                    print(\"no input sound\")\n",
    "\n",
    "except KeyboardInterrupt:\n",
    "    print('===> Finished Recording')\n",
    "except Exception as e:\n",
    "    print(str(e))"
   ]
  },
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   "execution_count": 34,
   "id": "4f62e086-850f-4226-8826-8b751a4b702d",
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      "[nltk_data]    | \n",
      "[nltk_data]  Done downloading collection all\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import re\n",
    "import nltk\n",
    "nltk.download('all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "05878656-c4f4-4f16-845a-a1f9062c40b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv(\"sentiment1.csv\",sep=\"\\t\",names=[\"comment_name\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "18a348e8-9255-4d92-b9f9-9728c9914269",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>comment_name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>we have chosen dare not the most famous speech...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>he remembered this celebrated with the next da...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>scroll down to the end of disposed for what es...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>i have a dream to the</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>i have it</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>wish should wish ill defined our iceland whate...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>we should fight on the beaches we still fight ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>which i do not for the children body lavender</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>we shall never surrender and even if which a t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>i made myself we take up arms and myself when ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                        comment_name\n",
       "0  we have chosen dare not the most famous speech...\n",
       "1  he remembered this celebrated with the next da...\n",
       "2  scroll down to the end of disposed for what es...\n",
       "3                              i have a dream to the\n",
       "4                                          i have it\n",
       "5  wish should wish ill defined our iceland whate...\n",
       "6  we should fight on the beaches we still fight ...\n",
       "7      which i do not for the children body lavender\n",
       "8  we shall never surrender and even if which a t...\n",
       "9  i made myself we take up arms and myself when ..."
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "96e0b5fc-4b2e-444b-bd5a-78e5fb086d96",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    we have chosen dare not the most famous speech...\n",
      "1    he remembered this celebrated with the next da...\n",
      "2    scroll down to the end of disposed for what es...\n",
      "3                                i have a dream to the\n",
      "4                                            i have it\n",
      "5    wish should wish ill defined our iceland whate...\n",
      "6    we should fight on the beaches we still fight ...\n",
      "7        which i do not for the children body lavender\n",
      "8    we shall never surrender and even if which a t...\n",
      "9    i made myself we take up arms and myself when ...\n",
      "Name: comment_name, dtype: object\n"
     ]
    }
   ],
   "source": [
    "example=df['comment_name']\n",
    "# print(example)\n",
    "\n",
    "series = pd.Series(example)\n",
    "print(series)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "11d0fc02-f7b9-4d91-9433-0900c0cfddf0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    we have chosen dare not the most famous speech...\n",
      "1    he remembered this celebrated with the next da...\n",
      "2    scroll down to the end of disposed for what es...\n",
      "3                                i have a dream to the\n",
      "4                                            i have it\n",
      "5    wish should wish ill defined our iceland whate...\n",
      "6    we should fight on the beaches we still fight ...\n",
      "7        which i do not for the children body lavender\n",
      "8    we shall never surrender and even if which a t...\n",
      "9    i made myself we take up arms and myself when ...\n",
      "Name: comment_name, dtype: object\n"
     ]
    }
   ],
   "source": [
    "series_lower = series.str.lower()\n",
    "print(series_lower)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "375144fd-3f66-4c7b-a06c-62cfe7918796",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    we have chosen dare not the most famous speech\n",
      "1    he remembered this celebrated with the next da\n",
      "2    scroll down to the end of disposed for what es\n",
      "3                                i have a dream to the\n",
      "4                                            i have it\n",
      "5    wish should wish ill defined our iceland whate\n",
      "6    we should fight on the beaches we still fight \n",
      "7        which i do not for the children body lavender\n",
      "8    we shall never surrender and even if which a t\n",
      "9    i made myself we take up arms and myself when \n",
      "Name comment_name dtype object\n"
     ]
    }
   ],
   "source": [
    "a_string = (str(series_lower))\n",
    "new_string = re.sub(r'[^\\w\\s]', '', a_string)\n",
    "\n",
    "print(new_string)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "d6d01167-42c8-4411-af3e-bbe8f588978b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0    we have chosen dare not the most famous speech\n",
      "1    he remembered this celebrated with the next da\n",
      "2    scroll down to the end of disposed for what es\n",
      "3                                i have a dream to the\n",
      "4                                            i have it\n",
      "5    wish should wish ill defined our iceland whate\n",
      "6    we should fight on the beaches we still fight \n",
      "7        which i do not for the children body lavender\n",
      "8    we shall never surrender and even if which a t\n",
      "9    i made myself we take up arms and myself when \n",
      "Name comment_name dtype object\n"
     ]
    }
   ],
   "source": [
    "space_pattern = (str(new_string))\n",
    "remove_extra_spaces = re.sub( r'\\s+', repl=' ', string=space_pattern)\n",
    "print(space_pattern)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "9140050b-d895-412c-925f-6460be0b8c8e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 chosen dare famous speech 1 remembered celebrated next da 2 scroll end disposed es 3 dream 4 5 wish wish ill defined iceland whate 6 fight beaches still fight 7 children body lavender 8 shall never surrender even 9 made take arms Name comment_name dtype object\n"
     ]
    }
   ],
   "source": [
    "from nltk.corpus import stopwords\n",
    "STOPWORDS = set(stopwords.words('english'))\n",
    "sentence = \" \".join([word for word in str(space_pattern).split() if word not in STOPWORDS])\n",
    "print(sentence)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "910fc073-c831-4f0b-973d-f380fc24c1b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 chosen dare famous speech 1 remembered celebrated next da 2 scroll end disposed es 3 dream 4 5 wish wish ill defined iceland whate 6 fight beaches still fight 7 children body lavender 8 shall never surrender even 9 made take arms Name comment_name dtype object\n"
     ]
    }
   ],
   "source": [
    "from nltk.stem import WordNetLemmatizer\n",
    "\n",
    "lemmatizer = WordNetLemmatizer()\n",
    "\n",
    "print(lemmatizer.lemmatize(sentence))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "a403605d-22ad-4912-a006-f66b6039aae1",
   "metadata": {},
   "outputs": [],
   "source": [
    "token=nltk.sent_tokenize(sentence)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "bc0c304c-f22c-4aa5-b99c-59fc3039c24a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['0 chosen dare famous speech 1 remembered celebrated next da 2 scroll end disposed es 3 dream 4 5 wish wish ill defined iceland whate 6 fight beaches still fight 7 children body lavender 8 shall never surrender even 9 made take arms Name comment_name dtype object']"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "12d74fa9-1c27-4757-9f4f-fc8f58a2405a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from nltk.sentiment import SentimentIntensityAnalyzer\n",
    "from tqdm.notebook import tqdm\n",
    "sia=SentimentIntensityAnalyzer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "062db25d-6ba0-498c-bebf-676f136615ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'neg': 0.163, 'neu': 0.611, 'pos': 0.226, 'compound': 0.4767}\n"
     ]
    }
   ],
   "source": [
    "for comment_list in token:\n",
    "    ss = sia.polarity_scores(comment_list) \n",
    "    print(ss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e3f5bfc5-0b5e-484c-a59a-782dcf8c9cce",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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