{
  "name": "Audio Event Triage Baseline",
  "problem": "Operations teams need an explainable starting point for classifying alarms, machinery noise, and speech-like events.",
  "domain": "audio-ml",
  "architecture": "classifier",
  "hugging_face_tasks": [
    "audio-classification",
    "automatic-speech-recognition",
    "feature-extraction",
    "audio-to-audio"
  ],
  "recommended_stack": [
    "FastAPI for audio metadata and prediction APIs",
    "Transformers with Wav2Vec2 or audio spectrogram models",
    "librosa or torchaudio for feature extraction",
    "MLflow for experiment and model registry",
    "Object storage for licensed audio",
    "OpenTelemetry for inference latency and error traces"
  ],
  "real_world_data_sources": [
    {
      "name": "Freesound API",
      "url": "https://freesound.org/apiv2/search/text/?query=alarm&page_size=5",
      "purpose": "Licensed public audio search when an API key is configured"
    },
    {
      "name": "Hugging Face Datasets API",
      "url": "https://huggingface.co/api/datasets?search=audio-classification&limit=5",
      "purpose": "Discover public audio datasets and metadata"
    }
  ],
  "job_description_skills": [
    "Audio feature pipelines and model fine-tuning",
    "Class imbalance and macro-metric evaluation",
    "Streaming inference and confidence calibration",
    "Dataset licensing and provenance controls",
    "Model monitoring and human review workflows"
  ],
  "impact_targets": [
    "Reach macro recall >= 0.85 on a licensed evaluation set",
    "Review every prediction below the confidence threshold",
    "Process one minute of audio in under five seconds",
    "Track class-level drift and false-negative rates"
  ],
  "baseline_evaluation": {
    "test_examples": 4,
    "accuracy": 1,
    "synthetic_evaluation": true
  },
  "estimated_delivery": "8-12 weeks for one engineer",
  "generated_baseline_is_production_ready": false
}