readme

README.md

@@ -45,54 +45,8 @@ description: >-
 duplicated_from: evaluate-metric/wer
 ---
 
-# Metric Card for WER
+# WER hmm
 
 ## Metric description
-Word error rate (WER) is a common metric of the performance of an automatic speech recognition (ASR) system. 
 
-The general difficulty of measuring the performance of ASR systems lies in the fact that the recognized word sequence can have a different length from the reference word sequence (supposedly the correct one). The WER is derived from the [Levenshtein distance](https://en.wikipedia.org/wiki/Levenshtein_distance), working at the word level.
-
-This problem is solved by first aligning the recognized word sequence with the reference (spoken) word sequence using dynamic string alignment. Examination of this issue is seen through a theory called the power law that states the correlation between [perplexity](https://huggingface.co/metrics/perplexity) and word error rate (see [this article](https://www.cs.cmu.edu/~roni/papers/eval-metrics-bntuw-9802.pdf) for further information).
-
-Word error rate can then be computed as:
-
-`WER = (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 words,
-
-`N` is the number of words in the reference (`N=S+D+C`).
-
-
-## Citation
-
-```bibtex
-@inproceedings{woodard1982,
-author = {Woodard, J.P. and Nelson, J.T.,
-year = {1982},
-journal = {Workshop on standardisation for speech I/O technology, Naval Air Development Center, Warminster, PA},
-title = {An information theoretic measure of speech recognition performance}
-}
-```
-
-```bibtex
-@inproceedings{morris2004,
-author = {Morris, Andrew and Maier, Viktoria and Green, Phil},
-year = {2004},
-month = {01},
-pages = {},
-title = {From WER and RIL to MER and WIL: improved evaluation measures for connected speech recognition.}
-}
-```
-
-## Further References 
-
-- [Word Error Rate -- Wikipedia](https://en.wikipedia.org/wiki/Word_error_rate)
-- [Hugging Face Tasks -- Automatic Speech Recognition](https://huggingface.co/tasks/automatic-speech-recognition)
+lorem ipsum