my question is about how to proceed in extracting human voice in music using the language python i have gone through this code but it extracts background music
from pydub import AudioSegment
from pydub.playback import play
# read in audio file and get the two mono tracks
sound_stereo = AudioSegment.from_file(myAudioFile, format="mp3")
sound_monoL = sound_stereo.split_to_mono()[0]
sound_monoR = sound_stereo.split_to_mono()[1]
# Invert phase of the Right audio file
sound_monoR_inv = sound_monoR.invert_phase()
# Merge two L and R_inv files, this cancels out the centers
sound_CentersOut = sound_monoL.overlay(sound_monoR_inv)
# Export merged audio file
fh = sound_CentersOut.export(myAudioFile_CentersOut, format="mp3")
i need to extract human voice in song
if not this then how to subtract one audio file from another audio file
It is possible to remove vocals in Audacity, Moises, or any other voice extraction tool because the voices of the songs in stereo are recorded between the instruments, making the removal possible. Still, it is a job that depends on the quality of the audio.
You can use Lalal. ai's service for free if you're processing a maximum of 10 minutes of audio. To split more than 10 minutes of audio into stems, you'll need to purchase one of the pack plans. You can use LALAL.AI for free but you will be limited to three tracks and a total of 10 minutes.
It is sometimes possible to isolate vocals by using Audacity's Noise Reduction to capture the noise profile of a song that has had vocals removed, then run Noise Reduction with that profile on the original mix before vocals were removed. Remove the vocals in the copy by using Effect > Vocal Reduction and Isolation...
You can always use the librosa library, which is favorite library for audio processing in python. It can be helpful in separating vocals (and other sporadic foreground signals) from accompanying instrumentation.
https://librosa.github.io/librosa_gallery/auto_examples/plot_vocal_separation.html
It takes the slice and plot the same slice, but separated into its foreground and background
To save the extracted foreground, you can use:
import librosa.output
new_y = librosa.istft(S_foreground*phase)
librosa.output.write_wav("./new-audio.wav", new_y, sr)
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