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#!/usr/bin/python3
# -*- coding: utf-8 -*-
import argparse
import librosa
import numpy as np
from scipy.io import wavfile
from project_settings import project_path
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--filename",
default=(project_path / "data/常相伴AI配音9.10/常相伴AI配音9.10/台湾-女声/1.m4a").as_posix(),
type=str,
)
parser.add_argument(
"--output_file",
default="temp.wav",
type=str,
)
args = parser.parse_args()
return args
def main():
args = get_args()
max_wave_value = 32768.0
signal, sample_rate = librosa.load(args.filename, sr=8000)
signal *= max_wave_value
signal = np.array(signal, dtype=np.int16)
print(signal.dtype)
print(sample_rate)
wavfile.write(
args.output_file,
8000,
signal,
)
return
if __name__ == "__main__":
main()
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