def separate_audio(
self,
filename: str = "../audio/audio_example.mp3",
bitrate: str = "128k",
codec: Codec = Codec.WAV, # output file extension
duration: float = 600.0, # max length in seconds
offset: float = 0.00, # starting position
verbose: bool = False # verbose logging
) -> None:
"""
Separate audio file(s) using pretrained 2-stems model
"""
from spleeter.audio.adapter import AudioAdapter
from spleeter.separator import Separator
configure_logger(verbose)
audio_adapter: AudioAdapter = AudioAdapter.get(descriptor=self.adapter)
separator: Separator = Separator(self.params_filename,
MWF=False,
stft_backend=STFTBackend(
STFTBackend.AUTO))
separator.separate_to_file(
str(filename),
str(self.output_path),
audio_adapter=audio_adapter,
offset=int(offset),
duration=duration,
codec=codec,
bitrate=bitrate,
filename_format=self.filename_format,
synchronous=False,
)
separator.join()
def music_processing(music_pth, ret_value):
separator = Separator(params_descriptor='spleeter:2stems')
audio_adapter = AudioAdapter.get(
'spleeter.audio.ffmpeg.FFMPEGProcessAudioAdapter')
waveform, _ = audio_adapter.load(music_path,
dtype=np.float32,
sample_rate=22050)
sources = separator.separate(waveform=waveform,
audio_descriptor=music_pth)
vocals = sources['vocals']
ret_value['vocals'] = vocals
return vocals