To generate thousands of noises through automated means, you can consider using a programming language and related audio processing libraries to achieve it. The following is an example code that uses Python and the `numpy` and 'scipy` libraries to generate simple white noise： ```python import numpy as np from scipy.io import wavfile # Parameter setting sample_rate = 44100# sampling rate duration = 1# The length of each noise sample, in seconds num_samples = 10000 # The amount of noise generated for i in range(num_samples): # Generate white noise noise = np. random. normal(0, 1, sample_rate * duration) # Normalize the noise to the range of [-1,1] noise = noise / np. max(np. abs(noise)) #Save as WAV file wavfile. write(f'noise_{i}. wav', sample_rate, (noise * 32767).astype(np.int16)) ``` Explanation of the above code： 1. Import the necessary libraries: 'numpy` is used for numerical calculations, and'scipy.io.wavfile` is used to write WAV files. 2. Set the sampling rate and the duration of each noise sample. 3. Use`np. random. normal' Generates random numbers that obey the normal distribution to create white noise. 4. Normalize the noise to the appropriate range. 5. Multiply the noise by the appropriate ratio, convert it to a 16-bit integer, and save it as a WAV file. If you need to generate more complex noise types, such as pink noise, brown noise, etc., you can use other specialized audio processing libraries, such as`librosa`, which provides a wealth of audio processing functions. For example, the code that generates pink noise is as follows： ```python import numpy as np import librosa import soundfile as sf # Parameter setting sample_rate = 44100 duration = 1 num_samples = 10000 for i in range(num_samples): # Generate pink noise noise, _ = librosa. generate_noise(duration=duration, sr=sample_rate, noise_type='pink') #Save as WAV file sf. write(f'pink_noise_{i}. wav', noise, sample_rate) ``` This code uses the `generate_noise` function of the`librosa' library to generate pink noise and save it as a WAV file. Through the above method, you can generate a large number of different noise files as needed.