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I was not able to implement the metric directly from the article. Instead, I used:
PER (Phoneme Error Rate) = number of frames with correct prediction / total number of frames
I added analize_phone_errors cli command, which calculates PER along with other metrics in three versions: overall, per phoneme (i.e. grouped by phoneme), per utterance and outputs them in csv format.
INPUT
compute_gmm_probs
which calculates probs for a GMM model.OUTPUT
A cli command
calculate_gop
witharguments:
options:
--per-phone
- will calculate GOP for each phoneme, and otherwise it calculates overall GOPoutput
--per-phone
(by default): one number — overall GOP--per-phone
: one row for each phone GOP in format<phone symb><whitespace><GOP value>
TODO
calculate_gop
helper functionThe text was updated successfully, but these errors were encountered: