6/14/2023 0 Comments Audio overload export to wavSf.write("soundfile_export.wav", data = new_audio_signal, samplerate = new_audio. # the output from down here using the scaled numpy array sounds about half the speed as the first. New_audio_signal = np.array(new_audio.get_array_of_samples(), dtype = np.float32) / 32768.0 # scale to between New_audio = om_file("pydub_audio.wav").set_frame_rate(16000) # read audio, manipulate and write with soundfile Raw_audio_w_silence.export("pydub_audio.wav", format = 'wav') # the output from this sounds completely OK. Raw_audio_w_silence = silence + raw_audio + silence Silence = AudioSegment.silent(duration = 200, frame_rate = 16000) # append 200 ms of silence to beginning and end of file Raw_audio = om_file(audio_file_path).set_frame_rate(16000) # this "audio_segment_0.wav" file came from the above code.Īudio_file_path = Path("audio_segment_0.wav") Silence_thresh = dBFS -30 # if DBFS goes 30 below the file's dBFS it will be considered "silence" The time taken will depend on export settings and. The final mix is exported from FL Studio using the export option in the file menu in a non-real time process called 'rendering'. mp3 audio files to be played in a media player, car stereo or hi-fi. Sound = effects.normalize(sound) # normalize audio fileĭBFS = sound.dBFS # get decibels relative to full scale SAVE/EXPORT FILE FORMATS Export Project Dialog (.wav. Sound = t_frame_rate(desired_sample_rate) # convert to 16000 khz sample rate mp3 file ("original_audio_mp3") with sample rate of 44100 khz What could be going wrong? import soundfile as sf However, if I take this audio file after exporting it with pydub, and then convert the AudioSegment's array to numpy array, and re-write it using soundfile, I get an audio file written that is about half the speed as it was originally. I have an audio file that I have created from splitting a larger file on silence using pydub. I am currently processing some audio data.
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