Multi-reference WER for evaluating ASR for languages with no orthographic rules

This code reflects the work described in the ASRU' 2015 paper on MR-WER

Requirements

• Python (tested with v.2.7.5)

Sample data:

• References transcriptions: We provide four different transcriptions for the non-overalp speech in the development set for Arabic MGB-3 task.
• Recognition Transcription: We provide ASR output using TDNN models trained on the 1,200 hours Arabic MGB-2 task.

Usage:

• ./run.sh shows the usage for the multi refence results

    ./mrwer.py --help
    usage: mrwer.py [-h] [-e] [-ma] [-a] ref [ref ...] hyp
    Multi reference evaluation for ASR against one reference or more.
    positional arguments:
    	ref                   one or more reference transcription
    	hyp                  ASR hypothesis transcription (must be last argument)
    optional arguments:
      -h, --help            show this help message and exit
      -e, --show-errors     Show error per sentence
      -ma, --show-multiple-alignment   Show multi-reference alignment  for each sentence
      -a, --show-alignment   Show alignment  for each sentence
  

Citing

The system is described in this paper:

@inproceedings{ali2015multi,
title={Multi-reference WER for evaluating ASR for languages with no orthographic rules},
author={Ali, Ahmed and Magdy, Walid and Bell, Peter and Renals, Steve},
booktitle={Automatic Speech Recognition and Understanding (ASRU), 2015 IEEE Workshop on},
pages={576--580},
year={2015},
organization={IEEE}
}