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mcp-audio-analysis

by hugohow
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GitHub
Python
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

NameRequiredDescriptionDefault
path_audio_time_series_yYes

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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