Credits and licences

OneMove Vocal Console is built by OneMove Audio. It stands on the work of others, credited here.

Demo vocals

The app's console can play two short a cappellas instead of the microphone. Each is under a Creative Commons Attribution licence, shown below. The audio examples on this website are made from these takes. The artists do not endorse OneMove or this product.

fileworkartistsourcewhat we changed
demo-female"Lost_Pella"queeniemusicccmixter.org/files/queeniemusic/65508CC BY 3.0: a 36 s excerpt (21.4–57.4 s), 30 ms fades, summed to mono, synthesised fan noise (−45 dB) and four clicks added, encoded as AAC 128 kb/s, 48 kHz mono
demo-male"More Than 2 Sides (accapella)"Colin Mutchlerccmixter.org/files/commonsplice/2599CC BY 2.5: a 34.5 s excerpt (20.9–55.4 s), 30 ms fades, summed to mono, raised 6.8 dB, synthesised fan noise (−45 dB) and four clicks added, encoded as AAC 128 kb/s, 48 kHz mono
silent screen recordings (meters only)"I Wonder"narva9ccmixter.org/files/narva9/8517CC BY 2.5: a 41 s excerpt (14.6–55.6 s), 30 ms fades, peaks turned down 1 dB, encoded as AAC 128 kb/s, 48 kHz stereo
earlier research measurements"Fixing My Brain (vocals)"Brad Sucksccmixter.org/files/bradsucks/3548CC BY 2.5: a 41 s excerpt (86.5–127.3 s), 30 ms fades, summed to mono, encoded as AAC 128 kb/s, 48 kHz mono

The singers' own room noise and pitch are kept as recorded, and level is changed only as listed above, so the modules have real work to do. Website audio examples are these takes processed through OneMove Vocal Console, cut to short excerpts and level-matched; settings are named beside each player.

RNNoise

Clean's neural noise reduction is based on RNNoise by Jean-Marc Valin and the Xiph.Org Foundation (gitlab.xiph.org/xiph/rnnoise). It is used under the BSD-3-Clause licence, reproduced in full:

Copyright (c) 2007-2017, 2024 Jean-Marc Valin
Copyright (c) 2023 Amazon
Copyright (c) 2017, Mozilla
Copyright (c) 2005-2017, Xiph.Org Foundation
Copyright (c) 2003-2004, Mark Borgerding
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions
are met:
- Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in the
documentation and/or other materials provided with the distribution.
- Neither the name of the Xiph.Org Foundation nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
A PARTICULAR PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE FOUNDATION
OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Methods and references

Our engineering notes cite published methods, such as the YIN pitch detector (de Cheveigné and Kawahara) and minimum-statistics noise estimation (Martin). The pitch-detector benchmark used the MDB-stem-synth research dataset (CC BY-NC 4.0) for measurement only; it is not part of the product.

Trademarks

Apple, iPad, iPhone, App Store, Logic Pro and GarageBand are trademarks of Apple Inc. Other product names on this site are trademarks of their owners, used only to describe compatibility or for comparison.