From ac5e62bdb8fb990c8d204fcddcc716e56cbe32be Mon Sep 17 00:00:00 2001 From: Jonatas Grosman Date: Sat, 22 May 2021 01:14:44 -0300 Subject: [PATCH] update README --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index fff1f5c..f0111c3 100644 --- a/README.md +++ b/README.md @@ -166,7 +166,7 @@ print(f"CER: {cer.compute(predictions=predictions, references=references, chunk_ **Test Result**: -In the table below I report the Word Error Rate (WER) and the Character Error Rate (CER) of the model. I ran the evaluation script described above on other models as well (on 2021-05-20). Note that the table below may show different results from those already reported, this may have been caused due to some specificity of the other evaluation scripts used... I've also tested the model using the LibriSpeech and TIMIT datasets, which are better-behaved datasets than the Common Voice, containing only examples in US English extracted from audiobooks. +In the table below I report the Word Error Rate (WER) and the Character Error Rate (CER) of the model. I ran the evaluation script described above on other models as well (on 2021-05-20). Note that the table below may show different results from those already reported, this may have been caused due to some specificity of the other evaluation scripts used. Initially, I've tested the model only using the Common Voice dataset. Later I've also tested the model using the LibriSpeech and TIMIT datasets, which are better-behaved datasets than the Common Voice, containing only examples in US English extracted from audiobooks. ---