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Dongji Gao 2023-09-18 20:47:46 -04:00 committed by GitHub
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@ -80,14 +80,14 @@ synthetic_train_manifest="librispeech_cuts_train-clean-100_${sub_er}_${ins_er}_$
--output-cutset "${manifest_dir}/${synthetic_train_manifest}" --output-cutset "${manifest_dir}/${synthetic_train_manifest}"
``` ```
This script generates synthetic substitution, insertion, and deletion errors in the transcript with ratios 'sub_er', 'ins_er', and 'del_er', respectively. The original transcript is saved as 'verbatim transcript' in the cutset, along with information on how the transcript is corrupted: This script generates synthetic substitution, insertion, and deletion errors in the transcript with ratios 'sub_er', 'ins_er', and 'del_er', respectively. The original transcript is saved as 'verbatim transcript' in the cutset, along with information on how the transcript is corrupted:
- '[hello]' indicates the original word is substituted by 'hello' - '[hello]' indicates the original word 'hello' is substituted by another word
- '[]' indicates an extra word is inserted into the transcript - '[]' indicates an extra word is inserted into the transcript
- '-hello-' indicates the word 'hello' is deleted from the transcript - '-hello-' indicates the word 'hello' is deleted from the transcript
So if the original transcript is "have a nice day" and the synthetic one is "a very good day", the 'verbatim transcript' would be: So if the original transcript is "have a nice day" and the synthetic one is "a very good day", the 'verbatim transcript' would be:
``` ```
original: have a nice day original: have a nice day
synthetic: a very good day synthetic: a very good day
verbatim: -have- a [] [good] day verbatim: -have- a [] [nice] day
``` ```
### Training ### Training