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Original file line number | Diff line number | Diff line change |
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import os | ||
import numpy as np | ||
import sys | ||
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def compute_wer(ref_file, | ||
hyp_file, | ||
cer_detail_file): | ||
rst = { | ||
'Wrd': 0, | ||
'Corr': 0, | ||
'Ins': 0, | ||
'Del': 0, | ||
'Sub': 0, | ||
'Snt': 0, | ||
'Err': 0.0, | ||
'S.Err': 0.0, | ||
'wrong_words': 0, | ||
'wrong_sentences': 0 | ||
} | ||
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hyp_dict = {} | ||
ref_dict = {} | ||
with open(hyp_file, 'r') as hyp_reader: | ||
for line in hyp_reader: | ||
key = line.strip().split()[0] | ||
value = line.strip().split()[1:] | ||
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:] | ||
ref_dict[key] = value | ||
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cer_detail_writer = open(cer_detail_file, 'w') | ||
for hyp_key in hyp_dict: | ||
if hyp_key in ref_dict: | ||
out_item = compute_wer_by_line(hyp_dict[hyp_key], ref_dict[hyp_key]) | ||
rst['Wrd'] += out_item['nwords'] | ||
rst['Corr'] += out_item['cor'] | ||
rst['wrong_words'] += out_item['wrong'] | ||
rst['Ins'] += out_item['ins'] | ||
rst['Del'] += out_item['del'] | ||
rst['Sub'] += out_item['sub'] | ||
rst['Snt'] += 1 | ||
if out_item['wrong'] > 0: | ||
rst['wrong_sentences'] += 1 | ||
cer_detail_writer.write(hyp_key + print_cer_detail(out_item) + '\n') | ||
cer_detail_writer.write("ref:" + '\t' + " ".join(list(map(lambda x: x.lower(), ref_dict[hyp_key]))) + '\n') | ||
cer_detail_writer.write("hyp:" + '\t' + " ".join(list(map(lambda x: x.lower(), hyp_dict[hyp_key]))) + '\n') | ||
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if rst['Wrd'] > 0: | ||
rst['Err'] = round(rst['wrong_words'] * 100 / rst['Wrd'], 2) | ||
if rst['Snt'] > 0: | ||
rst['S.Err'] = round(rst['wrong_sentences'] * 100 / rst['Snt'], 2) | ||
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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') | ||
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def compute_wer_by_line(hyp, | ||
ref): | ||
hyp = list(map(lambda x: x.lower(), hyp)) | ||
ref = list(map(lambda x: x.lower(), ref)) | ||
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len_hyp = len(hyp) | ||
len_ref = len(ref) | ||
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cost_matrix = np.zeros((len_hyp + 1, len_ref + 1), dtype=np.int16) | ||
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ops_matrix = np.zeros((len_hyp + 1, len_ref + 1), dtype=np.int8) | ||
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for i in range(len_hyp + 1): | ||
cost_matrix[i][0] = i | ||
for j in range(len_ref + 1): | ||
cost_matrix[0][j] = j | ||
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for i in range(1, len_hyp + 1): | ||
for j in range(1, len_ref + 1): | ||
if hyp[i - 1] == ref[j - 1]: | ||
cost_matrix[i][j] = cost_matrix[i - 1][j - 1] | ||
else: | ||
substitution = cost_matrix[i - 1][j - 1] + 1 | ||
insertion = cost_matrix[i - 1][j] + 1 | ||
deletion = cost_matrix[i][j - 1] + 1 | ||
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compare_val = [substitution, insertion, deletion] | ||
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min_val = min(compare_val) | ||
operation_idx = compare_val.index(min_val) + 1 | ||
cost_matrix[i][j] = min_val | ||
ops_matrix[i][j] = operation_idx | ||
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match_idx = [] | ||
i = len_hyp | ||
j = len_ref | ||
rst = { | ||
'nwords': len_ref, | ||
'cor': 0, | ||
'wrong': 0, | ||
'ins': 0, | ||
'del': 0, | ||
'sub': 0 | ||
} | ||
while i >= 0 or j >= 0: | ||
i_idx = max(0, i) | ||
j_idx = max(0, j) | ||
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if ops_matrix[i_idx][j_idx] == 0: # correct | ||
if i - 1 >= 0 and j - 1 >= 0: | ||
match_idx.append((j - 1, i - 1)) | ||
rst['cor'] += 1 | ||
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i -= 1 | ||
j -= 1 | ||
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elif ops_matrix[i_idx][j_idx] == 2: # insert | ||
i -= 1 | ||
rst['ins'] += 1 | ||
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elif ops_matrix[i_idx][j_idx] == 3: # delete | ||
j -= 1 | ||
rst['del'] += 1 | ||
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elif ops_matrix[i_idx][j_idx] == 1: # substitute | ||
i -= 1 | ||
j -= 1 | ||
rst['sub'] += 1 | ||
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if i < 0 and j >= 0: | ||
rst['del'] += 1 | ||
elif j < 0 and i >= 0: | ||
rst['ins'] += 1 | ||
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match_idx.reverse() | ||
wrong_cnt = cost_matrix[len_hyp][len_ref] | ||
rst['wrong'] = wrong_cnt | ||
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return rst | ||
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def print_cer_detail(rst): | ||
return ("(" + "nwords=" + str(rst['nwords']) + ",cor=" + str(rst['cor']) | ||
+ ",ins=" + str(rst['ins']) + ",del=" + str(rst['del']) + ",sub=" | ||
+ str(rst['sub']) + ") corr:" + '{:.2%}'.format(rst['cor']/rst['nwords']) | ||
+ ",cer:" + '{:.2%}'.format(rst['wrong']/rst['nwords'])) | ||
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if __name__ == '__main__': | ||
if len(sys.argv) != 4: | ||
print("usage : python compute-wer.py test.ref test.hyp test.wer") | ||
sys.exit(0) | ||
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ref_file = sys.argv[1] | ||
hyp_file = sys.argv[2] | ||
cer_detail_file = sys.argv[3] | ||
compute_wer(ref_file, hyp_file, cer_detail_file) |
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Original file line number | Diff line number | Diff line change |
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@@ -9,3 +9,6 @@ python funasr/bin/inference.py \ | |
+output_dir="./outputs/debug" \ | ||
+device="cpu" \ | ||
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