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46 lines
2.0 KiB
Python
46 lines
2.0 KiB
Python
from g2p_en import G2p
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import argparse
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import numpy as np
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import pandas
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def english_g2p(text, alphabet=None):
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g2p = G2p()
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out = ""
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if alphabet is None:
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alphabet={"AE1": "a", "N": "N", " ": " ", "OW1": "b", "V": "V", "AH0": "c", "L": "L", "F": "F", "EY1": "d", "S": "S", "B": "B", "R": "R", "AO1": "e", "D": "D", "AH1": "c", "EH1": "f", "OW0": "b", "IH0": "g", "G": "G", "HH": "h", "K": "K", "IH1": "g", "W": "W", "AY1": "i", "T": "T", "M": "M", "Z": "Z", "DH": "j", "ER0": "k", "P": "P", "NG": "l", "IY1": "m", "AA1": "n", "Y": "Y", "UW1": "o", "IY0": "m", "EH2": "f", "CH": "p", "AE0": "a", "JH": "q", "ZH": "r", "AA2": "n", "SH": "s", "AW1": "t", "OY1": "u", "AW2": "t", "IH2": "g", "AE2": "a", "EY2": "d", "ER1": "k", "TH": "v", "UH1": "w", "UW2": "o", "OW2": "b", "AY2": "i", "UW0": "o", "AH2": "c", "EH0": "f", "AW0": "t", "AO2": "e", "AO0": "e", "UH0": "w", "UH2": "w", "AA0": "n", "AY0": "i", "IY2": "m", "EY0": "d", "ER2": "k", "OY2": "u", "OY0": "u"}
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text_list = text.split(";")
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for item in text_list:
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item = item.split(",")
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for phrase in item:
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labels = g2p(phrase)
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for char in labels:
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if char not in alphabet:
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print("skip %s, not found in alphabet")
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continue
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else:
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out += alphabet[char]
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if phrase != item[-1]:
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out += ','
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out += ";"
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print("in:", text)
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print("out:", out)
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return out
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(prog="English Speech Commands G2P")
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parser.add_argument("--text", "-t", type=str, default=None, help="input text")
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parser.add_argument("--alphabet_map", "-a", type=str, default=None, help="the json file to map label into classes of model")
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parser.add_argument('-c', '--c_file', help="name of .c files")
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parser.add_argument('-head', '--h_file', help="name of .h files")
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args = parser.parse_args()
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if args.text is not None:
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english_g2p(args.text, args.alphabet_map)
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