怎么把500Hz CSV数据文件转换成WAV音频文件？

Question

I have a csv file of data, recorded on a data acquisition center with frequency of 500Hz, and I am trying to convert it to wav format. I have trie to Python and simply feed the numbers (as 16bit integers to the wave package), and it didn't work. How should I construct a wav file from simply a stream of numbers?

I've tried the following code, which includes normalization, and I set the dtype to be float32 so that it would use 32-bit floating-point format according to the documentation here , it just is not generating any sounds.

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import numpy as np
import scipy.io.wavfile
from numpy import *

csv_array = np.loadtxt('trimmed.csv', delimiter=',', dtype=float32)

min = np.amin(csv_array)
max = np.amax(csv_array)
med = (max + min) / 2

def f(x):
    return (x - med) * (1 - (-1)) / (max - min)

f = np.vectorize(f)
wav_array = f(csv_array)

scipy.io.wavfile.write('output.wav', 500, csv_array)

Answer 1

The problem is with your sampling rate. Try re-sampling the data to something like 44100 Hz (see code below). I do not know what effects re-sampling will have on your data.

import numpy as np
from scipy.io import wavfile
from scipy.signal import resample

data = np.random.uniform(-1, 1, 500)
data_resampled = resample(data, 44100)

wavfile.write('output.wav', 44100, data_resampled)

Try playing around with the rate argument in sipy.io.wavfile.write . As the rate lowers, the frequency of the sound lowers.