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{
"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
}
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