REP1

Zafar Raffi, Bryan Pardo, Ethan Manilow (implementation author) Gracenote, Northwestern University ethanmanilow@u.northwestern.edu

Additional Info

• is_blind: yes
• additional_training_data: no

Supplementary Material

• Code: https://github.com/interactiveaudiolab/nussl/blob/master/nussl/separation/repet.py
• Demos: https://interactiveaudiolab.github.io/nussl/getting_started/repet.html

Method

This is the nussl implementation of the original REpeating Pattern Extraction Technique (REPET) algorithm using the beat spectrum.

From here:

The original REPET aims at identifying and extracting the repeating patterns in an audio mixture, by estimating a period of the underlying repeating structure and modeling a segment of the periodically repeating background.

Overview of the original REPET. Stage 1: calculation of the beat spectrum b and estimation of a repeating period p. Stage 2: segmentation of the mixture spectrogram V and calculation of the repeating segment model S. Stage 3: calculation of the 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, Antoine Liutkus, and Bryan Pardo. "REPET for Background/Foreground Separation in Audio," Blind Source Separation, chapter 14, pages 395--411, Springer Berlin Heidelberg, 2014.
• Zafar Rafii and Bryan Pardo. "REpeating Pattern Extraction Technique (REPET): A Simple Method for Music/Voice Separation," IEEE Transactions on Audio, Speech, and Language Processing, Volume 21, Issue 1, pp. 71--82, January, 2013.