Timbre clustering¶
This method is similar to but not exactly like:
Spiertz, Martin, and Volker Gnann. “Source-filter based clustering for monaural blind source separation.” Proceedings of the 12th International Conference on Digital Audio Effects. 2009.
@inproceedings{spiertz2009source,
title={Source-filter based clustering for monaural blind source separation},
author={Spiertz, Martin and Gnann, Volker},
booktitle={Proceedings of the 12th International Conference on Digital Audio Effects},
year={2009}
}
[1]:
import nussl
import matplotlib.pyplot as plt
import time
start_time = time.time()
def visualize_and_embed(sources):
plt.figure(figsize=(10, 6))
plt.subplot(211)
nussl.utils.visualize_sources_as_masks(sources,
y_axis='mel', db_cutoff=-60, 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(
'marimba_timbre.mp3')
audio_signal = nussl.AudioSignal(audio_path)
separator = nussl.separation.primitive.TimbreClustering(
audio_signal, 2, 50, mask_type='binary')
estimates = separator()
estimates = {
f'Cluster {i}': e for i, e in enumerate(estimates)
}
visualize_and_embed(estimates)
Matching file found at /home/pseetharaman/.nussl/audio/marimba_timbre.mp3, skipping download.
/home/pseetharaman/.conda/envs/nussl-refactor/lib/python3.7/site-packages/librosa/core/audio.py:161: UserWarning: PySoundFile failed. Trying audioread instead.
warnings.warn('PySoundFile failed. Trying audioread instead.')
[2]:
end_time = time.time()
time_taken = end_time - start_time
print(f'Time taken: {time_taken:.4f} seconds')
Time taken: 7.3690 seconds