description.md

ABC1

Zafar Raffi, Bryan Pardo, Ethan Manilow (implementation author) Gracenote, Northwestern University [email protected]

Additional Info

• is_blind: yes
• additional_training_data: no

Supplementary Material

• Code: https://github.com/interactiveaudiolab/nussl/blob/master/nussl/separation/repet_sim.py

Method

This is the nussl implementation of the REpeating Pattern Extraction Technique algorithm using the Similarity Matrix (REPET-SIM).

From here:

The REPET methods work well when the repeating background has periodically repeating patterns (e.g., jackhammer noise); however, the repeating patterns can also happen intermittently or without a global or local periodicity (e.g., frogs by a pond). REPET-SIM is a generalization of REPET that can also handle non-periodically repeating structures, by using a similarity matrix to identify the repeating elements.

Overview of REPET-SIM. Stage 1: calculation of the similarity matrix S and estimation of the repeating elements jk's. Stage 2: filtering of the mixture spectrogram V and calculation of an initial repeating spectrogram model U. Stage 3: calculation of the refined repeating spectrogram model W and derivation of the soft time-frequency mask M.

References

• Zafar Rafii and Bryan Pardo. "Audio Separation System and Method," US20130064379 A1, US 13/612,413, March 14, 2013
• Zafar Rafii and Bryan Pardo. "Music/Voice Separation using the Similarity Matrix," 13th International Society on Music Information Retrieval, Porto, Portugal, October 8-12, 2012.