How to split long audio (EX:1hour ) file into multiple short length (5s) audio file using python

[ikt...@gmail.com]

I am doing masters thesis on audio detection using machine learning.I have some long audio files.I want to split this audio file into multiple short length audio file using python.Ex:The audio long length is more than 1 hour and want to split into multiple short length 5s files. i want to extract features for the whole audio file in each 5s or so on. or please guide that i can split the long audio file into multiple smaller pieces and all the smaller value has almost same value.

Thank's in advance

[raghawendra singh]

first read the file:

On Sat, Aug 29, 2020 at 2:45 PM ikt...@gmail.com <ikt...@gmail.com> wrote:

I am doing masters thesis on audio detection using machine learning.I have some long audio files.I want to split this audio file into multiple short length audio file using python.Ex:The audio long length is more than 1 hour and want to split into multiple short length 5s files. i want to extract features for the whole audio file in each 5s or so on. or please guide that i can split the long audio file into multiple smaller pieces and all the smaller value has almost same value.

Thank's in advance

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Raghawendra prakash singh

[raghawendra singh]

import librosa
import soundfile as sf

file = "your_source_file.wav"

x, sr = librosa.load(file, sr=None)

you will get x as audio file in numpy array and sr as original sampling rate

for i in range(0, len(x),5 * sr)

    y = x[5 * sr * i: 5 * sr *(i+1)]

    sf.write("dest_audio"+str(i)+".wav", y, sr)

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Raghawendra prakash singh

[ikt...@gmail.com]

Dear  Raghaw

I cant find the splitting files(5s) after writing  in the destination directory.even the value of x is showing 0.Could you please help me out?

Here is my code given  bellow.

Code:

import librosa
import soundfile as sf

path_dir=r"C:\Users\iktea\OneDrive\Desktop\Test audio data\Test"#source path of the long audio file
splitaudio=r"C:\Users\iktea\OneDrive\Desktop\Test audio data\splitaudio"#Destination path after splitting

for filename in os.listdir(path_dir):
    print(filename)
    path_file = os.sep.join([path_dir, filename])
    x, sr = librosa.load(path_file, sr=None)
    print(x)
   
    #you will get x as audio file in numpy array and sr as original sampling rate

    for i in range(0, len(x),5 * sr):
        y = x[5 * sr * i: 5 * sr *(i+1)]

        sf.write(path_dir+str(i)+".ogg", y, sr)

output:

1-11023-4.ogg

[0. 0. 0. ... 0. 0. 0.]