Signals Agent

This is an agent that takes in audio and uses FFT's to perform spectral analysis to determine audio sources and guess the environment the audio file was taken in.

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Motivation

  • AI for Invisible Signals – human perception covers a narrow band; much of the spectral world is hidden.
  • Industrial + Commercial Relevance – signal-aware agents can continuously monitor IC fabs, smart buildings, and more.
  • Defense & RF Potential – the same architecture can adapt to RF, supporting comms, EW, and spectrum analysis.

What the Agent Does

  1. User provides audio.
  2. Agent runs multi-scale FFT to reveal broad and narrow-band features.
  3. Agent “investigates” peaks (drilling into time/frequency slices).
  4. Agent queries Perplexity to find likely sources.
  5. Outputs an explained spectrogram with labeled insights.

How It Works

  • FFT tool with adjustable bins in both time and frequency → fine or coarse resolution on demand.
  • Perplexity web-search tool → context on unfamiliar frequencies (e.g., “55 Hz hum”).
  • Adaptive binning lets the agent slice energy any way it needs to spot trends and anomalies.

Real-World Use

Ambient Agent for Awareness & Predictive Maintenance

  • Subtle shifts (vibration, pitch) often precede equipment failure.
  • The agent hears those signatures long before humans do, enabling proactive fixes.

Built With

  • llama-index
  • openai-api
  • perplexity-api
  • phoenix
  • python
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