new-fave
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new-fave
Usage
Getting Started
Python Usage
How it works
new-fave Defaults
Customizing
Adding Speaker Demographics
Output Options
Processing Options
Reference Values
Configuration
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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new-fave Defaults
Adding Speaker Demographics