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wav2csv.py
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wav2csv.py
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# -*- coding: utf-8 -*-
"""
BMCL BAEKSUWHAN
@author: lukious
"""
import sys, os, os.path
from scipy.io import wavfile
import pandas as pd
input_filename = input("Input file number:")
if input_filename[-3:] != 'wav':
print('WARNING!! Input File format should be *.wav')
sys.exit()
samrate, data = wavfile.read(str('./wavfile/' + input_filename))
print('Load is Done! \n')
wavData = pd.DataFrame(data)
if len(wavData.columns) == 2:
print('Stereo .wav file\n')
wavData.columns = ['R', 'L']
stereo_R = pd.DataFrame(wavData['R'])
stereo_L = pd.DataFrame(wavData['L'])
print('Saving...\n')
stereo_R.to_csv(str(input_filename[:-4] + "_Output_stereo_R.csv"), mode='w')
stereo_L.to_csv(str(input_filename[:-4] + "_Output_stereo_L.csv"), mode='w')
# wavData.to_csv("Output_stereo_RL.csv", mode='w')
print('Save is done ' + str(input_filename[:-4]) + '_Output_stereo_R.csv , '
+ str(input_filename[:-4]) + '_Output_stereo_L.csv')
elif len(wavData.columns) == 1:
print('Mono .wav file\n')
wavData.columns = ['M']
wavData.to_csv(str(input_filename[:-4] + "_Output_mono.csv"), mode='w')
print('Save is done ' + str(input_filename[:-4]) + '_Output_mono.csv')
else:
print('Multi channel .wav file\n')
print('number of channel : ' + len(wavData.columns) + '\n')
wavData.to_csv(str(input_filename[:-4] + "Output_multi_channel.csv"), mode='w')
print('Save is done ' + str(input_filename[:-4]) + 'Output_multi_channel.csv')