Update Space (evaluate main: e179b5b8)

README.md

@@ -1,6 +1,6 @@
 ---
 title: CER
-emoji: 🤗
+emoji: 🤗 
 colorFrom: blue
 colorTo: red
 sdk: gradio
@@ -8,44 +8,10 @@ sdk_version: 3.0.2
 app_file: app.py
 pinned: false
 tags:
-  - evaluate
-  - metric
-description: >-
-  Character error rate (CER) is a common metric of the performance of an
-  automatic speech recognition system.
-
-
-  CER is similar to Word Error Rate (WER), but operates on character instead of
-  word. Please refer to docs of WER for further information.
-
-
-  Character error rate can be computed as:
-
-
-  CER = (S + D + I) / N = (S + D + I) / (S + D + C)
-
-
-  where
-
-
-  S is the number of substitutions,
-
-  D is the number of deletions,
-
-  I is the number of insertions,
-
-  C is the number of correct characters,
-
-  N is the number of characters in the reference (N=S+D+C).
-
-
-  CER's output is not always a number between 0 and 1, in particular when there
-  is a high number of insertions. This value is often associated to the
-  percentage of characters that were incorrectly predicted. The lower the value,
-  the better the
-
-  performance of the ASR system with a CER of 0 being a perfect score.
+- evaluate
+- metric
 ---
+
 # Metric Card for CER
 
 ## Metric description