This is the blinded accompanying website (reviewer version) for the paper "Let it Bee - Towards NMF-inspired Audio Mosaicing".
Abstract
A swarm of bees buzzing "Let it be" by the Beatles or the
wind gently howling the romantic "Gute Nacht" by Schubert
- these are examples of audio mosaics as we want to create them.
Given a target and a source recording, the goal of audio
mosaicing is to generate a mosaic recording that conveys
musical aspects (like melody and rhythm) of the target,
using sound components taken from the source. In this
work, we propose a novel approach for automatically generating
audio mosaics with the objective to preserve the timbre
of the source in the mosaic. Inspired by algorithms for
non-negative matrix factorization (NMF), our idea is to use
update rules to learn an activation matrix that, when multiplied
with the spectrogram of the source recording, resembles
the spectrogram of the target recording. However,
when applying the original NMF procedure, the resulting
mosaic does not adequately reflect the timbre of the source. As
our main technical contribution, we propose an extended
set of update rules for the iterative learning procedure that
supports the development of sparse diagonal structures in
the activation matrix. We show how these structures better
retains timbral characteristics of the source in the resulting
mosaic.
4.3 Audio Examples
In the following you find the audio examples corresponding to Table 1 in the paper.
