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marl/crepe

A Convolutional Representation for Pitch Estimation -- pre-trained model (ICASSP 2018

Public
13 runs

Run marl/crepe with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

Input schema

The fields you can use to run this model with an API. If you don't give a value for a field its default value will be used.

Field Type Default value Description
input
string
Audio file
viterbi
boolean
False
Apply viterbi smoothing to the estimated pitch curve
plot_voicing
boolean
False
Include a visual representation of the voicing activity detection
step_size
integer
10
The step size in milliseconds for running pitch estimation
output_type
string (enum)
plot

Options:

plot, json

Type of output representation: could be plot or json (list of [time, frequency, confidence] values)

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{
  "type": "array",
  "items": {
    "type": "object",
    "properties": {
      "file": {
        "type": "string",
        "format": "uri",
        "x-order": 0
      },
      "text": {
        "type": "string",
        "x-order": 1
      }
    }
  },
  "x-cog-array-type": "iterator"
}