I have 1,440 audio files to feed into a neural network. The problem is that they are not all the same length. I used the answer posted on:
Adding silent frame to wav file using python
but it doesn't seem to work. I wanted to add a few seconds of silence to the end of my files, and then trim them to all be 5 seconds long. Can someone please help me with this?
(I also tried using pysox, but that gives me the This install of SoX cannot process .wav files.
error.)
I am using Google Colab for this. The code is:
import wave, os, glob
from pydub import AudioSegment
from pydub.playback import play
path = 'drive/MyDrive/Ravdess/Sad' #This is the folder from my Google Drive which has the audio files
count = 0
for filename in glob.glob(os.path.join(path, '*.wav')):
w = wave.open(filename, 'r')
d = w.readframes(w.getnframes())
frames = w.getnframes()
rate = w.getframerate()
duration = frames/float(rate)
count+=1
print(filename, "count =", count, "duration = ", duration)
audio_in_file = filename
audio_out_file = "out.wav"
new_duration = duration
#Only append silence until time = 5 seconds.
one_sec = AudioSegment.silent(duration=2000) #duration in milliseconds
song = AudioSegment.from_wav(audio_in_file)
final_song = one_sec + song
new_frames = w.getnframes()
new_rate = w.getframerate()
new_duration = new_frames/float(rate)
final_song.export(audio_out_file, format="wav")
print(final_song, "count =", count, "new duration = ", new_duration)
w.close()
This gives the output:
drive/MyDrive/Ravdess/Sad/03-01-04-01-02-01-01.wav count = 1 duration = 3.5035
<pydub.audio_segment.AudioSegment object at 0x7fd5b7ca06a0> count = 1 new duration = 3.5035
drive/MyDrive/Ravdess/Sad/03-01-04-01-02-02-01.wav count = 2 duration = 3.370041666666667
<pydub.audio_segment.AudioSegment object at 0x7fd5b7cbc860> count = 2 new duration = 3.370041666666667
... (and so on for all the files)
Since you are already using pydub
, I'd do something like this:
from pydub import AudioSegment
from pydub.playback import play
input_wav_file = "/path/to/input.wav"
output_wav_file = "/path/to/output.wav"
target_wav_time = 5 * 1000 # 5 seconds (or 5000 milliseconds)
original_segment = AudioSegment.from_wav(input_wav_file)
silence_duration = target_wav_time - len(original_segment)
silenced_segment = AudioSegment.silent(duration=silence_duration)
combined_segment = original_segment + silenced_segment
combined_segment.export(output_wav_file, format="wav")