问用于tensorflow的音频重采样层

EN

import numpy as np
import tensorflow as tf

import matplotlib.pyplot as plt

contents = tf.io.read_file("F:\\temp\\Python\\Speech\\temple_of_love-sisters_of_mercy.wav")
audio, sample_rate = tf.audio.decode_wav(
    contents, desired_channels=-1, desired_samples=-1, name=None
)

print(audio)
print(sample_rate)

plt.plot(audio[:5 * 22050])
plt.show()
plt.close()

plt.plot(0.05 * tf.math.sin(audio[:5 * 22050]).numpy())
plt.show()
plt.close()

sec_1 = np.zeros((2750)) * tf.math.sin(audio[0:2750]).numpy()
sec_2 = np.ones((2750)) * tf.math.sin(audio[2750:5500]).numpy()


plt.plot(0.05 * tf.concat([sec_1, sec_2], 0).numpy())
plt.show()
plt.close()

array([[0.],
       [0.],
       [0.],
       ...,
       [0.],
       [0.],
       [0.]], dtype=float32)>, sample_rate=<tf.Tensor: shape=(), dtype=int32, numpy=22050>)

tf.Tensor(22050, shape=(), dtype=int32)