{
  "_comment": "Usage Examples - Developer: Molla Samser, Email: help@rskworld.in, Phone: +91 93305 39277, Website: https://rskworld.in, Year: 2026",
  "examples": [
    {
      "title": "Load Audio File",
      "description": "Load and inspect an audio file from the dataset",
      "code": "import librosa\nimport soundfile as sf\n\n# Load audio file\naudio, sr = librosa.load('audio/speaker_001/recordings/sample_001.wav', sr=22050)\nprint(f'Duration: {len(audio)/sr:.2f} seconds')\nprint(f'Sample rate: {sr} Hz')",
      "language": "python"
    },
    {
      "title": "Extract MFCC Features",
      "description": "Extract MFCC features from audio",
      "code": "import librosa\n\n# Load audio\naudio, sr = librosa.load('audio/sample.wav', sr=22050)\n\n# Extract MFCC features\nmfccs = librosa.feature.mfcc(y=audio, sr=sr, n_mfcc=13)\nprint(f'MFCC shape: {mfccs.shape}')",
      "language": "python"
    },
    {
      "title": "Process Audio Files",
      "description": "Process all audio files in a directory",
      "code": "python scripts/process_audio.py --input audio/ --output processed/ --sample-rate 22050",
      "language": "bash"
    },
    {
      "title": "Extract Features",
      "description": "Extract features from all audio files",
      "code": "python scripts/extract_features.py --audio audio/ --output features/",
      "language": "bash"
    },
    {
      "title": "Prepare Dataset",
      "description": "Prepare dataset for training",
      "code": "python scripts/prepare_dataset.py --config config/dataset_config.json",
      "language": "bash"
    },
    {
      "title": "Load Metadata",
      "description": "Load speaker metadata from JSON file",
      "code": "import json\n\nwith open('audio/speaker_001/metadata.json', 'r') as f:\n    metadata = json.load(f)\n    print(f\"Speaker: {metadata['name']}\")\n    print(f\"Age: {metadata['age']}\")\n    print(f\"Gender: {metadata['gender']}\")",
      "language": "python"
    }
  ],
  "contact": {
    "developer": "Molla Samser",
    "email": "help@rskworld.in",
    "phone": "+91 93305 39277",
    "website": "https://rskworld.in"
  }
}