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cleaning.ipynb

@@ -0,0 +1,490 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Transcriptions have been extracted and saved successfully.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import re\n",
+    "import os\n",
+    "\n",
+    "# Path to the transcription file\n",
+    "transcription_file = r\"ASR Malayalam\\✅\\mono_male\\transcriptions.txt\"\n",
+    "\n",
+    "# Create a directory to store the output files (optional)\n",
+    "output_dir = r\"ASR Malayalam\\✅\\mono_male\\transcriptions\"\n",
+    "os.makedirs(output_dir, exist_ok=True)\n",
+    "\n",
+    "# Read the transcription file\n",
+    "with open(transcription_file, 'r', encoding='utf-8') as file:\n",
+    "    lines = file.readlines()\n",
+    "\n",
+    "# Process each line in the transcription file\n",
+    "for line in lines:\n",
+    "    # Use regular expression to match the format and extract the transcription\n",
+    "    match = re.match(r'\\((\\S+) \"(.*?)\"\\)', line.strip())\n",
+    "    if match:\n",
+    "        # Extract the filename (ID) and the Malayalam transcription\n",
+    "        filename = match.group(1)\n",
+    "        transcription = match.group(2)\n",
+    "        \n",
+    "        # Construct the output file path\n",
+    "        output_file_path = os.path.join(output_dir, f'{filename}.txt')\n",
+    "        \n",
+    "        # Write the transcription to the file\n",
+    "        with open(output_file_path, 'w', encoding='utf-8') as output_file:\n",
+    "            output_file.write(transcription)\n",
+    "\n",
+    "print(\"Transcriptions have been extracted and saved successfully.\")\n",
+    "\n",
+    "# Paths to the directories containing audio and transcription files\n",
+    "audio_dir = r\"ASR Malayalam\\✅\\mono_male\\wav\"  # Directory containing .wav files\n",
+    "transcription_dir = r\"ASR Malayalam\\✅\\mono_male\\transcriptions\"  # Directory containing .txt files\n",
+    "\n",
+    "# Get a list of all .wav files and .txt files in the respective directories\n",
+    "audio_files = {f.replace('.wav', '') for f in os.listdir(audio_dir) if f.endswith('.wav')}\n",
+    "transcription_files = {f.replace('.txt', '') for f in os.listdir(transcription_dir) if f.endswith('.txt')}\n",
+    "\n",
+    "# Find the extra files in each directory that don't have a corresponding match\n",
+    "extra_audio_files = audio_files - transcription_files\n",
+    "extra_transcription_files = transcription_files - audio_files\n",
+    "\n",
+    "# Delete extra audio files (those without matching transcription)\n",
+    "for file in extra_audio_files:\n",
+    "    audio_file_path = os.path.join(audio_dir, f\"{file}.wav\")\n",
+    "    if os.path.exists(audio_file_path):\n",
+    "        os.remove(audio_file_path)\n",
+    "        print(f\"Deleted audio file: {audio_file_path}\")\n",
+    "\n",
+    "# Delete extra transcription files (those without matching audio)\n",
+    "for file in extra_transcription_files:\n",
+    "    transcription_file_path = os.path.join(transcription_dir, f\"{file}.txt\")\n",
+    "    if os.path.exists(transcription_file_path):\n",
+    "        os.remove(transcription_file_path)\n",
+    "        print(f\"Deleted transcription file: {transcription_file_path}\")\n",
+    "\n",
+    "print(\"Matching files checked and extra files deleted.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import re\n",
+    "\n",
+    "# Paths to the directories containing audio and transcription files\n",
+    "audio_dir = r\"💗\\wav\"  # Directory containing .wav files\n",
+    "transcription_file = r\"💗\\transcriptions.txt\"  # Path to the transcription file\n",
+    "\n",
+    "# Create a directory to store the output files (optional)\n",
+    "output_dir = r\"💗\\transcriptions\"\n",
+    "os.makedirs(output_dir, exist_ok=True)\n",
+    "\n",
+    "# Read the transcription file\n",
+    "with open(transcription_file, 'r', encoding='utf-8') as file:\n",
+    "    lines = file.readlines()\n",
+    "\n",
+    "# Create sets to track the audio files and transcriptions\n",
+    "audio_files = {f.replace('.wav', '') for f in os.listdir(audio_dir) if f.endswith('.wav')}\n",
+    "transcription_files = set()\n",
+    "\n",
+    "# Regular expression to extract audio file name and Malayalam text\n",
+    "# This pattern matches the audio file name after \"audio/\" and captures the Malayalam transcription at the end\n",
+    "transcription_pattern = re.compile(r'\\t(audio/([\\w\\-]+\\.wav))\\t[\\w\\-]+\\t\\d+\\t(.*?)(\\.)')\n",
+    "\n",
+    "# Process each line in the transcription file\n",
+    "for line in lines:\n",
+    "    # Strip leading/trailing whitespace and search for the pattern\n",
+    "    match = transcription_pattern.search(line.strip())\n",
+    "    \n",
+    "    if match:\n",
+    "        # Extract the audio file name (without 'audio/' prefix) and the transcription text\n",
+    "        audio_filename = match.group(2)\n",
+    "        transcription = match.group(3).strip()  # Malayalam transcription\n",
+    "        \n",
+    "        # Logging to check if the regex is matching correctly\n",
+    "        print(f\"Found transcription: Audio File = {audio_filename}, Text = {transcription}\")\n",
+    "        \n",
+    "        # Construct the output transcription file path\n",
+    "        transcription_filename = f'{audio_filename.replace(\".wav\", \"\")}.txt'\n",
+    "        transcription_file_path = os.path.join(output_dir, transcription_filename)\n",
+    "        \n",
+    "        # Write the transcription to the file\n",
+    "        try:\n",
+    "            with open(transcription_file_path, 'w', encoding='utf-8') as output_file:\n",
+    "                output_file.write(transcription)\n",
+    "            print(f\"Created transcription file: {transcription_file_path}\")\n",
+    "        except Exception as e:\n",
+    "            print(f\"Error writing file {transcription_file_path}: {e}\")\n",
+    "        \n",
+    "        # Add the transcription identifier to the set\n",
+    "        transcription_files.add(audio_filename.replace('.wav', ''))\n",
+    "    else:\n",
+    "        # If the regex doesn't match, print the problematic line\n",
+    "        print(f\"Failed to match line: {line.strip()}\")\n",
+    "\n",
+    "# Find unmatched audio files (those without a corresponding transcription)\n",
+    "extra_audio_files = audio_files - transcription_files\n",
+    "extra_transcription_files = transcription_files - audio_files\n",
+    "\n",
+    "# Delete extra audio files (those without matching transcription)\n",
+    "for file in extra_audio_files:\n",
+    "    audio_file_path = os.path.join(audio_dir, f\"{file}.wav\")\n",
+    "    if os.path.exists(audio_file_path):\n",
+    "        os.remove(audio_file_path)\n",
+    "        print(f\"Deleted audio file: {audio_file_path}\")\n",
+    "\n",
+    "# Delete extra transcription files (those without matching audio)\n",
+    "for file in extra_transcription_files:\n",
+    "    transcription_file_path = os.path.join(output_dir, f\"{file}.txt\")\n",
+    "    if os.path.exists(transcription_file_path):\n",
+    "        os.remove(transcription_file_path)\n",
+    "        print(f\"Deleted transcription file: {transcription_file_path}\")\n",
+    "\n",
+    "print(\"Matching files checked and extra files deleted.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Matching files checked and extra files deleted.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "\n",
+    "# Paths to the directories containing audio and transcription files\n",
+    "audio_dir = \"🗿\\wav\"  # Directory containing .wav files\n",
+    "transcription_file = r\"🗿\\transcriptions.txt\"  # Path to the transcription file\n",
+    "\n",
+    "# Create a directory to store the output files (optional)\n",
+    "output_dir = r\"🗿\\transcriptions\"\n",
+    "os.makedirs(output_dir, exist_ok=True)\n",
+    "\n",
+    "# Read the transcription file\n",
+    "with open(transcription_file, 'r', encoding='utf-8') as file:\n",
+    "    lines = file.readlines()\n",
+    "\n",
+    "# Create sets to track the audio files and transcriptions\n",
+    "audio_files = {f.replace('.wav', '') for f in os.listdir(audio_dir) if f.endswith('.wav')}\n",
+    "transcription_files = set()\n",
+    "\n",
+    "# Process each line in the transcription file\n",
+    "for line in lines:\n",
+    "    columns = line.strip().split('\\t')\n",
+    "    if len(columns) > 1:\n",
+    "        # Extract the transcription identifier and the Malayalam transcription\n",
+    "        transcription_id = columns[0]\n",
+    "        transcription = columns[1]\n",
+    "\n",
+    "        # Construct the output transcription file path\n",
+    "        transcription_filename = f'{transcription_id}.txt'\n",
+    "        transcription_file_path = os.path.join(output_dir, transcription_filename)\n",
+    "        \n",
+    "        # Write the transcription to the file\n",
+    "        with open(transcription_file_path, 'w', encoding='utf-8') as output_file:\n",
+    "            output_file.write(transcription)\n",
+    "\n",
+    "        # Add the transcription identifier to the set\n",
+    "        transcription_files.add(transcription_id)\n",
+    "\n",
+    "# Find unmatched audio files (those without a corresponding transcription)\n",
+    "extra_audio_files = audio_files - transcription_files\n",
+    "extra_transcription_files = transcription_files - audio_files\n",
+    "\n",
+    "# Delete extra audio files (those without matching transcription)\n",
+    "for file in extra_audio_files:\n",
+    "    audio_file_path = os.path.join(audio_dir, f\"{file}.wav\")\n",
+    "    if os.path.exists(audio_file_path):\n",
+    "        os.remove(audio_file_path)\n",
+    "        print(f\"Deleted audio file: {audio_file_path}\")\n",
+    "\n",
+    "# Delete extra transcription files (those without matching audio)\n",
+    "for file in extra_transcription_files:\n",
+    "    transcription_file_path = os.path.join(output_dir, f\"{file}.txt\")\n",
+    "    if os.path.exists(transcription_file_path):\n",
+    "        os.remove(transcription_file_path)\n",
+    "        print(f\"Deleted transcription file: {transcription_file_path}\")\n",
+    "\n",
+    "print(\"Matching files checked and extra files deleted.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Matching files checked and extra files deleted.\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "\n",
+    "# Paths to the directories containing audio and transcription files\n",
+    "audio_dir = r\"😭\\Vidhya\\wavs\"  # Directory containing .wav files\n",
+    "transcription_file = r\"😭\\Vidhya\\transcriptions.txt\"  # Path to the transcription file\n",
+    "\n",
+    "# Create a directory to store the output files (optional)\n",
+    "output_dir = r\"😭\\Vidhya\\transcriptions\"\n",
+    "os.makedirs(output_dir, exist_ok=True)\n",
+    "\n",
+    "# Read the transcription file\n",
+    "with open(transcription_file, 'r', encoding='utf-8') as file:\n",
+    "    lines = file.readlines()\n",
+    "\n",
+    "# Create sets to track the audio files and transcriptions\n",
+    "audio_files = {f.replace('.wav', '') for f in os.listdir(audio_dir) if f.endswith('.wav')}\n",
+    "transcription_files = set()\n",
+    "\n",
+    "# Process each line in the transcription file\n",
+    "for line in lines:\n",
+    "    # Split the line at the '|' symbol to separate the identifier and the transcription\n",
+    "    columns = line.strip().split('|')\n",
+    "    if len(columns) == 2:\n",
+    "        transcription_id = columns[0].strip()\n",
+    "        transcription = columns[1].strip()\n",
+    "\n",
+    "        # Construct the output transcription file path\n",
+    "        transcription_filename = f'{transcription_id}.txt'\n",
+    "        transcription_file_path = os.path.join(output_dir, transcription_filename)\n",
+    "        \n",
+    "        # Write the transcription to the file\n",
+    "        with open(transcription_file_path, 'w', encoding='utf-8') as output_file:\n",
+    "            output_file.write(transcription)\n",
+    "\n",
+    "        # Add the transcription identifier to the set\n",
+    "        transcription_files.add(transcription_id)\n",
+    "\n",
+    "# Find unmatched audio files (those without a corresponding transcription)\n",
+    "extra_audio_files = audio_files - transcription_files\n",
+    "extra_transcription_files = transcription_files - audio_files\n",
+    "\n",
+    "# Delete extra audio files (those without matching transcription)\n",
+    "for file in extra_audio_files:\n",
+    "    audio_file_path = os.path.join(audio_dir, f\"{file}.wav\")\n",
+    "    if os.path.exists(audio_file_path):\n",
+    "        os.remove(audio_file_path)\n",
+    "        print(f\"Deleted audio file: {audio_file_path}\")\n",
+    "\n",
+    "# Delete extra transcription files (those without matching audio)\n",
+    "for file in extra_transcription_files:\n",
+    "    transcription_file_path = os.path.join(output_dir, f\"{file}.txt\")\n",
+    "    if os.path.exists(transcription_file_path):\n",
+    "        os.remove(transcription_file_path)\n",
+    "        print(f\"Deleted transcription file: {transcription_file_path}\")\n",
+    "\n",
+    "print(\"Matching files checked and extra files deleted.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import re\n",
+    "\n",
+    "# Paths to the directories containing audio and transcription files\n",
+    "audio_dir = r\"🤑\\wav\"  # Directory containing .wav files\n",
+    "transcription_file = r\"🤑\\transcriptions.txt\"  # Path to the transcription file\n",
+    "\n",
+    "# Create a directory to store the output files (optional)\n",
+    "output_dir = r\"🤑\\transcriptions\"\n",
+    "os.makedirs(output_dir, exist_ok=True)\n",
+    "\n",
+    "# Read the transcription file\n",
+    "with open(transcription_file, 'r', encoding='utf-8') as file:\n",
+    "    lines = file.readlines()\n",
+    "\n",
+    "# Create sets to track the audio files and transcriptions\n",
+    "audio_files = {f.replace('.wav', '') for f in os.listdir(audio_dir) if f.endswith('.wav')}\n",
+    "transcription_files = set()\n",
+    "\n",
+    "# Regular expression to extract transcription ID and Malayalam text\n",
+    "# The pattern matches 'mal_' followed by digits and captures everything after that as the transcription text\n",
+    "transcription_pattern = re.compile(r'(mal_\\d+)\\s+(.+)')\n",
+    "\n",
+    "# Process each line in the transcription file\n",
+    "for line in lines:\n",
+    "    # Strip leading/trailing whitespace and search for the pattern\n",
+    "    match = transcription_pattern.search(line.strip())\n",
+    "    \n",
+    "    if match:\n",
+    "        transcription_id = match.group(1)\n",
+    "        transcription = match.group(2).strip()  # Capture the Malayalam text and remove surrounding whitespace\n",
+    "        \n",
+    "        # Logging to check if the regex is matching correctly\n",
+    "        print(f\"Found transcription: ID = {transcription_id}, Text = {transcription}\")\n",
+    "        \n",
+    "        # Construct the output transcription file path\n",
+    "        transcription_filename = f'{transcription_id}.txt'\n",
+    "        transcription_file_path = os.path.join(output_dir, transcription_filename)\n",
+    "        \n",
+    "        # Write the transcription to the file\n",
+    "        try:\n",
+    "            with open(transcription_file_path, 'w', encoding='utf-8') as output_file:\n",
+    "                output_file.write(transcription)\n",
+    "            print(f\"Created transcription file: {transcription_file_path}\")\n",
+    "        except Exception as e:\n",
+    "            print(f\"Error writing file {transcription_file_path}: {e}\")\n",
+    "        \n",
+    "        # Add the transcription identifier to the set\n",
+    "        transcription_files.add(transcription_id)\n",
+    "    else:\n",
+    "        # If the regex doesn't match, print the problematic line\n",
+    "        print(f\"Failed to match line: {line.strip()}\")\n",
+    "\n",
+    "# Find unmatched audio files (those without a corresponding transcription)\n",
+    "extra_audio_files = audio_files - transcription_files\n",
+    "extra_transcription_files = transcription_files - audio_files\n",
+    "\n",
+    "# Delete extra audio files (those without matching transcription)\n",
+    "for file in extra_audio_files:\n",
+    "    audio_file_path = os.path.join(audio_dir, f\"{file}.wav\")\n",
+    "    if os.path.exists(audio_file_path):\n",
+    "        os.remove(audio_file_path)\n",
+    "        print(f\"Deleted audio file: {audio_file_path}\")\n",
+    "\n",
+    "# Delete extra transcription files (those without matching audio)\n",
+    "for file in extra_transcription_files:\n",
+    "    transcription_file_path = os.path.join(output_dir, f\"{file}.txt\")\n",
+    "    if os.path.exists(transcription_file_path):\n",
+    "        os.remove(transcription_file_path)\n",
+    "        print(f\"Deleted transcription file: {transcription_file_path}\")\n",
+    "\n",
+    "print(\"Matching files checked and extra files deleted.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### CREATE JSON MAPPING BETWEEN WAV & TRANSCRIPTIONS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mapping created successfully. Output saved to D:\\ASR Malayalam\\map.json\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "import json\n",
+    "\n",
+    "# Directory structure\n",
+    "base_dir = r\"./\"  # Path to the directory containing the 6 folders\n",
+    "output_json_file = r\"map.json\" # Output file for the JSON mapping\n",
+    "\n",
+    "# Initialize the dictionary to hold the mappings\n",
+    "file_mapping = {}\n",
+    "\n",
+    "# List all the folders in the base directory\n",
+    "folders = [folder for folder in os.listdir(base_dir) if os.path.isdir(os.path.join(base_dir, folder))]\n",
+    "\n",
+    "# Loop over each folder (assumed to be named with 6 unique names)\n",
+    "for folder in folders:\n",
+    "    wav_folder = os.path.join(base_dir, folder, 'wav')  # Path to the 'wav' subfolder\n",
+    "    transcription_folder = os.path.join(base_dir, folder, 'transcription')  # Path to the 'transcription' subfolder\n",
+    "\n",
+    "    # List all .wav files in the 'wav' folder\n",
+    "    wav_files = [f for f in os.listdir(wav_folder) if f.endswith('.wav')]\n",
+    "    \n",
+    "    # List all .txt files in the 'transcription' folder\n",
+    "    transcription_files = [f for f in os.listdir(transcription_folder) if f.endswith('.txt')]\n",
+    "\n",
+    "    # Create mappings for each .wav file to its corresponding .txt transcription file\n",
+    "    for wav_file in wav_files:\n",
+    "        # Assuming the transcription filename is the same as the wav filename but with a .txt extension\n",
+    "        transcription_file = wav_file.replace('.wav', '.txt')\n",
+    "\n",
+    "        # Check if the corresponding transcription file exists\n",
+    "        if transcription_file in transcription_files:\n",
+    "            # Add to the mapping\n",
+    "            file_mapping[os.path.join(wav_folder, wav_file)] = os.path.join(transcription_folder, transcription_file)\n",
+    "\n",
+    "# Write the JSON output to a file\n",
+    "with open(output_json_file, 'w', encoding='utf-8') as json_file:\n",
+    "    json.dump(file_mapping, json_file, ensure_ascii=False, indent=4)\n",
+    "\n",
+    "print(f\"Mapping created successfully. Output saved to {output_json_file}\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "\n",
+    "# Set the environment variable\n",
+    "os.environ[\"HF_HUB_ENABLE_HF_TRANSFER\"] = \"1\"\n",
+    "\n",
+    "# Check if the environment variable is set\n",
+    "print(os.environ.get(\"HF_HUB_ENABLE_HF_TRANSFER\"))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "tf",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}