chroma_cqt

Analyze audio time series to extract chroma CQT features, representing chromatic content for music analysis. Processes CSV input, computes note amplitudes, and outputs results in a structured CSV format.

Instructions

Computes the chroma CQT of the given audio time series using librosa.
The chroma CQT is a representation of the audio signal in terms of its
chromatic content, which is useful for music analysis.
The chroma CQT 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
- hop_length: The number of samples between frames.
- fmin: The minimum frequency of the chroma feature.
- n_chroma: The number of chroma bins (default is 12).
- n_octaves: The number of octaves to include in the chroma feature.
The chroma CQT is saved to a CSV file with the following columns:
- note: The note name (C, C#, D, etc.).
- time: The time position of the note in seconds.
- amplitude: The amplitude of the note at that time.
The path to the CSV file is returned.

Input Schema

Name	Required	Description	Default
`fmin`	No
`hop_length`	No
`n_chroma`	No
`n_octaves`	No
`path_audio_time_series_y`	Yes

Input Schema (JSON Schema)

{
  "properties": {
    "fmin": {
      "default": null,
      "title": "Fmin",
      "type": "number"
    },
    "hop_length": {
      "default": 512,
      "title": "Hop Length",
      "type": "integer"
    },
    "n_chroma": {
      "default": 12,
      "title": "N Chroma",
      "type": "integer"
    },
    "n_octaves": {
      "default": 7,
      "title": "N Octaves",
      "type": "integer"
    },
    "path_audio_time_series_y": {
      "title": "Path Audio Time Series Y",
      "type": "string"
    }
  },
  "required": [
    "path_audio_time_series_y"
  ],
  "title": "chroma_cqtArguments",
  "type": "object"
}

mcp-audio-analysis

chroma_cqt

Instructions

Input Schema

Input Schema (JSON Schema)

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