Make type of error rate optional. #193
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xinghai-sun
requested changes
Aug 9, 2017
deep_speech_2/evaluate.py
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| type=str, | ||
| help="There are total two error rate types including wer and cer. wer " | ||
| "represents for word error rate while cer for character error rate. " | ||
| "(default: %(default)s)") |
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Make the wording concise, e.g. Error rate type for evaluation. 'wer' for word error rate and 'cer' for character error rate.
deep_speech_2/evaluate.py
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| num_ins += 1 | ||
| print("WER (%d/?) = %f" % (num_ins, wer_sum / num_ins)) | ||
| print("Final WER (%d/%d) = %f" % (num_ins, num_ins, wer_sum / num_ins)) | ||
| print("%s (%d/?) = %f" % \ |
deep_speech_2/infer.py
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| else: | ||
| error_rate_func = cer | ||
| error_rate_info = 'cer' | ||
|
|
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error_rate_func = cer if args.error_rate_type == 'cer' else wer
deep_speech_2/evaluate.py
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| @@ -136,7 +145,14 @@ def evaluate(): | |||
| rnn_layer_size=args.rnn_layer_size, | |||
| pretrained_model_path=args.model_filepath) | |||
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| wer_sum, num_ins = 0.0, 0 | |||
| if args.error_rate_type == 'wer': | |||
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L148-L153 --> error_rate_func = cer if args.error_rate_type == 'cer' else wer
deep_speech_2/evaluate.py
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| num_ins += 1 | ||
| print("WER (%d/?) = %f" % (num_ins, wer_sum / num_ins)) | ||
| print("Final WER (%d/%d) = %f" % (num_ins, num_ins, wer_sum / num_ins)) | ||
| print("%s (%d/?) = %f" % \ |
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Remove error_rate_info and use print("Error rate [%s] ....." % args.error_rate_type) for simplicity ?
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