• DATA
  • ISOLATION
  • REDUCTION
  • HUMAN

How to analyze audio pitch components with your AI

Connect the Fourier Transform Engine to your AI client to turn raw audio data into usable frequency information.

Ask AI about this page

Short answer

How do I extract pitch data from audio arrays?

Your AI uses the Fourier Transform Engine to run a Fast Fourier Transform on numeric audio arrays. This converts time-domain signals into frequency-domain data so you can pinpoint specific pitches. You'll get a clear breakdown of the spectral components.

The results of your analysis

What you get from the processing

The AI handles the heavy math so you can focus on the audio characteristics.

DATA

Frequency domain arrays

The AI converts raw amplitude values into frequency bins. You get the exact spectral distribution needed for pitch detection.

ISOLATION

Specific pitch identification

The AI identifies dominant frequencies within the signal. This lets you isolate a single note or tone from a complex recording.

REDUCTION

Noise and harmonic filtering

The AI processes the transformed data to separate signal from noise. You can then focus on the fundamental frequency without interference.

HUMAN

Manual interpretation

The AI provides the raw frequency values and peaks. You decide how to apply these findings to your music or acoustic research.

The workflow

What your AI does when the audio data arrives.

The AI moves from raw numbers to actionable frequency information through a mathematical pipeline.

  1. Input processing

    The AI receives the raw numeric arrays representing your audio signal.

    calculate_fft

  2. Frequency conversion

    The AI performs the mathematical transformation to shift the data from the time domain to the frequency domain.

    calculate_fft

  3. Peak detection

    The AI scans the resulting frequency bins to find the strongest signal components.

    calculate_fft

  4. Data reporting

    The AI presents the frequency peaks and spectral data in a format you can read.

    calculate_fft

Try it

Copy these to start.

Use these prompts to kick off your analysis.

Starting points

Replace the bracketed text with your specific data sources like a local file path or a specific array variable.

fft.js Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_OgVdcAJ5c4akzqqyOKLcs4VoR2ziukAMExZvS9jD/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — fft.js capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "fourier-transform-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_OgVdcAJ5c4akzqqyOKLcs4VoR2ziukAMExZvS9jD/mcp"
    }
  }
}
Copy into chat04

  • Run a Fourier Transform on the audio array in my current workspace.

  • Analyze the frequency components of the audio data in 'recording_01.npy'.

  • Find the dominant pitch in this numeric audio array.

  • Convert this raw audio signal into frequency-domain data and show me the peak frequencies.

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Start here

Connect Fourier Transform Engine once, then ask.

One connection links the MCP to your AI client. You'll find the full technical details on the Connector page.

Connect Fourier Transform Engine to your AI

FAQ

How this task behaves

  • 01

    Can the AI play the audio back to me?

    No. The AI only processes the numeric arrays to provide frequency data; it does not have audio playback capabilities.

  • 02

    Does the AI modify my original audio files?

    No. The AI only reads the numeric data you provide to perform calculations. It cannot overwrite or edit your source files.

  • 03

    What kind of data does the AI need?

    The AI needs numeric arrays that represent the audio signal in the time domain.

  • 04

    Can the AI identify musical notes?

    The AI identifies frequency peaks. You will need to map those frequencies to musical notes yourself.

  • 05

    Can the AI clean up noisy audio?

    No. The AI can identify the noise components in the frequency domain, but it cannot perform audio cleaning or filtering on the original file.

  • More questions about Fourier Transform Engine? The Connector page answers them. See everything the Fourier Transform Engine Connector can do

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