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""" |
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Script to translate given single english audio file to corresponding hindi text |
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Usage : python s2t_en2hi.py <audio_file_path> <averaged_checkpoints_file_path> |
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""" |
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import sys |
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import os |
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import subprocess |
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hi_wav = sys.argv[1] |
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en2hi_model_checkpoint = sys.argv[2] |
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os.system(f"cp {hi_wav} ./MUSTC_ROOT/en-hi/data/tst-COMMON/wav/test.wav") |
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print("------Starting data prepration...") |
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subprocess.run(["python", "prep_mustc_data_hindi_single.py", "--data-root", "MUSTC_ROOT/", "--task", "st", "--vocab-type", "unigram", "--vocab-size", "8000"], stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL) |
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print("------Performing translation...") |
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translation_result = subprocess.run(["fairseq-generate", "./MUSTC_ROOT/en-hi/", "--config-yaml", "config_st.yaml", "--gen-subset", "tst-COMMON_st", "--task", "speech_to_text", "--path", sys.argv[2], "--max-tokens", "50000", "--beam", "5", "--scoring", "sacrebleu"], capture_output=True, text=True) |
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translation_result_text = translation_result.stdout |
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print(translation_result.std) |
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lines = translation_result_text.split("\n") |
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print("\n\n------Translation results are:") |
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for i in lines: |
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if (i.startswith("D-0")): |
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print(i.split("\t")[2]) |
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break |
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os.system("rm ./MUSTC_ROOT/en-hi/data/tst-COMMON/wav/test.wav") |
