mcp-audio-analysis

MIT License

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mfcc

Analyze audio time series by computing MFCC, a spectral representation of the signal, using librosa. Input a CSV file path to extract features for music analysis.

Instructions

Computes the MFCC of the given audio time series using librosa.
The MFCC is a representation of the audio signal in terms of its
spectral content, which is useful for music analysis.
The MFCC is computed using the following parameters:
- path_audio_time_series_y: The path to the audio time series (CSV file).
    It's sometimes better to take harmonics only

Input Schema

Name	Required	Description	Default
`path_audio_time_series_y`	Yes

Input Schema (JSON Schema)

{
  "properties": {
    "path_audio_time_series_y": {
      "title": "Path Audio Time Series Y",
      "type": "string"
    }
  },
  "required": [
    "path_audio_time_series_y"
  ],
  "title": "mfccArguments",
  "type": "object"
}

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