word_error_rate()¶
- audmetric.word_error_rate(truth, prediction)[source]¶
Word error rate based on edit distance.
- Parameters
truth (
Sequence
[Sequence
[str
]]) – ground truth stringsprediction (
Sequence
[Sequence
[str
]]) – predicted strings
- Return type
float
- Returns
word error rate
- Raises
ValueError – if
truth
andprediction
differ in length
Examples
>>> truth = [["lorem", "ipsum"], ["north", "wind", "and", "sun"]] >>> prediction = [["lorm", "ipsum"], ["north", "wind"]] >>> word_error_rate(truth, prediction) 0.5