cer

游雁

2024-02-29 ad99b15120a456095e482a1b6b0fc8a06814a776

cer

 funasr/metrics/wer.py

@@ -2,6 +2,8 @@
import numpy as np
import sys
import hydra
from omegaconf import DictConfig, OmegaConf, ListConfig


def compute_wer(ref_file,
                hyp_file,
@@ -28,18 +30,20 @@
            key = line.strip().split()[0]
            value = line.strip().split()[1:]
            if cn_postprocess:
                value = value.replace(" ", "")
                value = [x for x in value]
                value = " ".join(value)
                value = value.replace(" ", "")
                if value[0] == "请":
                    value = value[1:]
                value = [x for x in value]
            hyp_dict[key] = value
    with open(ref_file, 'r') as ref_reader:
        for line in ref_reader:
            key = line.strip().split()[0]
            value = line.strip().split()[1:]
            if cn_postprocess:
                value = " ".join(value)
                value = value.replace(" ", "")
                value = [x for x in value]
                value = " ".join(value)
            ref_dict[key] = value

    cer_detail_writer = open(cer_file, 'w')
@@ -67,11 +71,15 @@

    cer_detail_writer.write('\n')
    cer_detail_writer.write("%WER " + str(rst['Err']) + " [ " + str(rst['wrong_words'])+ " / " + str(rst['Wrd']) +
                            ", " + str(rst['Ins']) + " ins, " + str(rst['Del']) + " del, " + str(rst['Sub']) + " sub ]" + '\n')
    cer_detail_writer.write("%SER " + str(rst['S.Err']) + " [ " + str(rst['wrong_sentences']) + " / " + str(rst['Snt']) + " ]" + '\n')
    cer_detail_writer.write("Scored " + str(len(hyp_dict)) + " sentences, " + str(len(hyp_dict) - rst['Snt']) + " not present in hyp." + '\n')
                            ", " + str(rst['Ins']) + " ins, " + str(rst['Del']) + " del, " + str(
        rst['Sub']) + " sub ]" + '\n')
    cer_detail_writer.write(
        "%SER " + str(rst['S.Err']) + " [ " + str(rst['wrong_sentences']) + " / " + str(rst['Snt']) + " ]" + '\n')
    cer_detail_writer.write("Scored " + str(len(hyp_dict)) + " sentences, " + str(
        len(hyp_dict) - rst['Snt']) + " not present in hyp." + '\n')

    cer_detail_writer.close()

     
def compute_wer_by_line(hyp,
                        ref):
@@ -153,6 +161,7 @@

    return rst


def print_cer_detail(rst):
    return ("(" + "nwords=" + str(rst['nwords']) + ",cor=" + str(rst['cor'])
            + ",ins=" + str(rst['ins']) + ",del=" + str(rst['del']) + ",sub="
@@ -167,11 +176,13 @@
    cer_file = cfg.get("cer_file", None)
    cn_postprocess = cfg.get("cn_postprocess", False)
    if ref_file is None or hyp_file is None or cer_file is None:
        print("usage : python -m  funasr.metrics.wer ++ref_file=test.ref ++hyp_file=test.hyp ++cer_file=test.wer ++cn_postprocess=false")
        print(
            "usage : python -m  funasr.metrics.wer ++ref_file=test.ref ++hyp_file=test.hyp ++cer_file=test.wer ++cn_postprocess=false")
        sys.exit(0)
        
    compute_wer(ref_file, hyp_file, cer_file, cn_postprocess)


if __name__ == '__main__':
    main_hydra()