DUET

Rickard, Scott. “The DUET blind source separation algorithm.” Blind speech separation. Springer, Dordrecht, 2007. 217-241.

@incollection{rickard2007duet,
  title={The DUET blind source separation algorithm},
  author={Rickard, Scott},
  booktitle={Blind speech separation},
  pages={217--241},
  year={2007},
  publisher={Springer}
}

import nussl
import matplotlib.pyplot as plt
import time
import warnings

warnings.filterwarnings("ignore")
start_time = time.time()

nussl.utils.seed(0)

def visualize_and_embed(sources):
    plt.figure(figsize=(10, 6))
    plt.subplot(211)
    nussl.utils.visualize_sources_as_masks(sources,
        y_axis='linear', db_cutoff=-40, alpha_amount=2.0)
    plt.subplot(212)
    nussl.utils.visualize_sources_as_waveform(
        sources, show_legend=False)
    plt.show()
    nussl.play_utils.multitrack(sources)

audio_path = nussl.efz_utils.download_audio_file(
    'wsj_speech_mixture_ViCfBJj.mp3')
audio_signal = nussl.AudioSignal(audio_path)
separator = nussl.separation.spatial.Duet(
    audio_signal, num_sources=2)
estimates = separator()

estimates = {
    f'Speaker {i}': e for i, e in enumerate(estimates)
}

visualize_and_embed(estimates)

Matching file found at /home/pseetharaman/.nussl/audio/wsj_speech_mixture_ViCfBJj.mp3, skipping download.

end_time = time.time()
time_taken = end_time - start_time
print(f'Time taken: {time_taken:.4f} seconds')

Time taken: 1.6775 seconds