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@ -798,44 +798,6 @@ def main():
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test_sets = [f"test-clean_sampling"]
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test_dl = [test_clean_dl]
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for test_set, test_dl in zip(test_sets, test_dl):
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results_dict = decode_dataset(
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dl=test_dl,
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params=params,
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model=model,
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sp=sp,
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word_table=word_table,
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decoding_graph=decoding_graph,
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)
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results = results_dict['greedy_search']
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#jsons = open(f"{params.manifest_dir}/userlibri/{test_set}/{option}.jsonl", 'r').readlines()
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#new_jsons = open(f"{params.manifest_dir}/userlibri/{test_set}/{option}_p.jsonl", 'w')
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res_dict = {}
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for res in results:
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res_dict[res[0]] = ' '.join(res[2])
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res_dict = sorted(res_dict.items(), key=lambda x:x[0])
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for k, v in res_dict:
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print(k, v)
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exit()
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if 0:
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for line in jsons:
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splited = line.split()
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utt_id = splited[1][1:-2]
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text_idx = splited.index('"text":')
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pseudo = f'"greedy pseudo text": "{res_dict[utt_id]}",'
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#splited.insert(text_idx, pseudo)
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splited.insert(len(splited)-2, pseudo)
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new_line = ' '.join(splited)
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new_line += '\n'
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new_jsons.write(new_line)
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'''
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for test_set, test_dl in zip(test_sets, test_dl):
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results_dict = decode_dataset(
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dl=test_dl,
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@ -851,7 +813,6 @@ def main():
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test_set_name=test_set,
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results_dict=results_dict,
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)
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'''
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'''
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test_clean_cuts, test_clean_sets = librispeech.test_clean_cuts(option='user')
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