csv到wav python

Question

嗨，我有这个代码，假设把csv文件转换成wav文件。 它创建了一个wav文件，但我们什么也听不到。如果我在csv文件中放10行，它会生成一个大约1分钟的wav文件！所以它根本不是成比例的。在

我的csv看起来像：

0.000785,0.30886552
0.00157,0.587527526
0.002355,0.808736061
0.00314,0.950859461
0.003925,0.999999683
0.00471,0.951351376
0.005495,0.809671788
0.00628,0.588815562
0.007065,0.31037991
0.00785,0.001592653
0.008635,-0.307350347
0.00942,-0.586237999
0.010205,-0.807798281
0.01099,-0.950365133
0.011775,-0.999997146
0.01256,-0.951840879
0.013345,-0.810605462
0.01413,-0.590102105
0.014915,-0.311893512
0.0157,-0.003185302
0.016485,0.305834394
0.01727,0.584946986
0.018055,0.806858453
0.01884,0.949868395
0.019625,0.999992073
0.02041,0.952327967
0.021195,0.81153708
0.02198,0.591387151
0.022765,0.313406323

这里的代码是：

^{pr2}$

原始代码来自github-pretz，我在google上看到了一些修复。在

谢谢大家

Answer 1

解决了！这里是在WAV文件中转换CSV文件的代码。 CSV文件必须有2列： 第一个是示例的时间-在这个文件中，这无关紧要，所以您可以将0放在这一列中。 第二列是样本本身—例如，如果您的样本是16位长度—则样本应该介于-32678和32767之间（整数范围）。这个数字将在第56行的-1和1之间规范化。 在拥有这个文件之后，您只需运行.py，并将csv文件的文件名作为参数。（就像Python生成.py正弦波.csv). 在

#!/usr/bin/python

import wave
import struct
import sys
import csv
import numpy 
from scipy.io import wavfile
from scipy.signal import resample

def write_wav(data, filename, framerate, amplitude):
    wavfile = wave.open(filename,'w')
    nchannels = 1
    sampwidth = 2
    framerate = framerate
    nframes = len(data)
    comptype = "NONE"
    compname = "not compressed"
    wavfile.setparams((nchannels,
                        sampwidth,
                        framerate,
                        nframes,
                        comptype,
                        compname))
    frames = []
    for s in data:
        mul = int(s * amplitude)
        frames.append(struct.pack('h', mul))

    frames = ''.join(frames)
    wavfile.writeframes(frames)
    wavfile.close()
    print("%s written" %(filename)) 


if __name__ == "__main__":
    if len(sys.argv) <= 1:
        print ("You must supply a filename to generate")
        exit(-1)
    for fname in sys.argv[1:]:

        data = []
        for time, value in csv.reader(open(fname, 'U'), delimiter=','):
            try:
                data.append(float(value))#Here you can see that the time column is skipped
            except ValueError:
                pass # Just skip it


        arr = numpy.array(data)#Just organize all your samples into an array
        # Normalize data
        arr /= numpy.max(numpy.abs(data)) #Divide all your samples by the max sample value
        filename_head, extension = fname.rsplit(".", 1)        
        data_resampled = resample( arr, len(data) )
        wavfile.write('rec.wav', 16000, data_resampled) #resampling at 16khz
        print ("File written succesfully !")

享受吧！在

^{pr2}$

Answer 2

使用pysoundfile

import pandas as pd
import soundfile as sf

# assume we have columns 'time' and 'value'
df = pd.read_csv('recording.csv')

# compute sample rate, assuming times are in seconds
times = df['time'].values
n_measurements = len(times)
timespan_seconds = times[-1] - times[0]
sample_rate_hz = int(n_measurements / timespan_seconds)

# write data
data = df['value'].values
sf.write('recording.wav', data, sample_rate_hz)