new-fave
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Customizing
Home
new-fave
Usage
Getting Started
Python Usage
How it works
fave-extract
Outputs
Customizing
Adding Speaker Demographics
Output Options
Processing Options
Reference Values
Configuration
new-fave Defaults
FastTrack Config
Measurement Point Customization
Recode Rules and Labelset Parser
Usage
Customizing
Customizing
Adding Speaker Demographics
We’ve tried to make adding speaker demographics to
fave-extract
output as flexible as possible, including
Output Options
By default, the fave-extract subcommands will write all possible data outputs to a directory called
fave_results/
. You can control how this works with a few options.
Processing Options
Some important additional options you can set for a fave-extract subcommand are:
Reference Values
If you already have a collection of new-fave or legacy-fave results, and would like to use these formant values as a reference to cut down on formant tracking errors, you…
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fave-extract
Outputs
Adding Speaker Demographics