ref: b9912f7eb3455926987434db5e3dc97e1a24c1e9
dir: /dnn/torch/osce/silk_16_to_48.py/
import argparse
from scipy.io import wavfile
import torch
import numpy as np
from utils.layers.silk_upsampler import SilkUpsampler
parser = argparse.ArgumentParser()
parser.add_argument("input", type=str, help="input wave file")
parser.add_argument("output", type=str, help="output wave file")
if __name__ == "__main__":
args = parser.parse_args()
fs, x = wavfile.read(args.input)
# being lazy for now
assert fs == 16000 and x.dtype == np.int16
x = torch.from_numpy(x.astype(np.float32)).view(1, 1, -1)
upsampler = SilkUpsampler()
y = upsampler(x)
y = y.squeeze().numpy().astype(np.int16)
wavfile.write(args.output, 48000, y[13:])