Hear it.
$29 was $49 · early adopter price · everything included
Voice packs.
All official packs are free.
Natural Choir
Twenty singers. Nine women, eleven men.
Trained on VocalSet, an open set of recordings anyone is allowed to train on. They sound natural - the pack to reach for when the choir is meant to sound like real people.
9 women · 11 men
Ada
Bryony
Cleo
Delphine
Esme
Freya
Greta
Hana
Ilse
Abel
Boaz
Caspar
Dorian
Emrys
Fenn
Gideon
Hollis
Ivo
Jonas
Kester
Impressionist
Eight voices. Four women, four men.
Bright, feathery voices for airy textures and light background layers. They were blended, trained, rendered and retrained, briefly each time, until none of them sounds like anyone in particular. That leaves the renders soft and slightly lo-fi, with a pleasant grain of artifacts.
4 women · 4 men · trained on a mix of VocalSet, session recordings, friends' iPhone recordings, samples and AI-generated vocals
Monet
Renoir
Edgar
Pisarro
Morisot
Cassatt
Bracquemond
Lilla
Gramophone Era
Fourteen voices off 78s. Seven women, seven men.
Soloists who recorded for Victor between 1902 and 1920, from vaudeville tenors to opera stars. We lifted each voice off its record, away from the band, and trained a singer on it. They sing back the way the records sound: narrow, warm and a little far away.
7 women · 7 men · trained on public-domain acoustic recordings, 1902–1920, from the Library of Congress's National Jukebox
A modern vocal, then the pack singing it. Like the records they came from, the choir has almost nothing under 200 Hz or over 5 kHz, so it sounds a hundred years old the moment it comes in.
Corinne
1904–1909
Edith
1903–1911
Ernestine
1907–1917
Frances
1910–1919
Johanna
1906–1917
Marion
1916–1919
Olive
1913–1918
Billy
1902–1920
Byron
1903–1917
Irving
1914–1915
John
1910–1919
Pasquale
1911–1913
Pol
1904–1908
Reed
1909–1915
Instrumental
Ten instruments that play what you sing.
Woodwinds, brass and strings, each trained as if it were a singer. Sing a line and it comes back on a flute, a trumpet or a cello, with your phrasing and your timing. Put a few of them together and the choir is a section.
Trained on the Good-sounds dataset (Romaní Picas, Parra Rodriguez, Dabiri and Serra, 2015), Music Technology Group, Universitat Pompeu Fabra, used under CC BY 4.0.
Flute
Clarinet
Soprano Sax
Alto Sax
Trumpet
Violin
Tenor Sax
Baritone Sax
Cello
Double Bass
One sung line, then the same line on six of the ten. Drag across them while it plays; it goes round until you stop it.
A voice memo, sung into a phone, and then the pack playing it back.
Ragtag
Nine voices. Five women, four men.
Nine singers from very different sources: pop singer-songwriters, indie-rock frontman, a J-pop voice, a German vocalist and lo-fi singers. The mismatch is what makes the choir sound rich.
5 women · 4 men · trained on four open singing datasets
- LM-SSD: Larynx Microphone Singer-Songwriter Dataset, v1.0, by Simon Schwär, Michael Krause, Michael Fast, Sebastian Rosenzweig, Frank Scherbaum and Meinard Müller (2024), CC BY 4.0.
- AlbumDB: A multitrack dataset of a ten-song album with stereo and immersive 7.1.4 masters, v1.0, by Thomas McKenzie, Eloi Moliner Juanpere and Alec Wright (2026), CC BY 4.0.
- PJS: Phoneme-balanced Japanese Singing-voice corpus, v1.1, by Junya Koguchi and Shinnosuke Takamichi (2020), CC BY-SA 4.0.
- SingBAP: A Multimodal Dataset of Singing Performance with Biosignals, Audio, and Pose Estimation, v1.0.0, by Suvi Häärä and Rafael Ramirez-Melendez, Universitat Pompeu Fabra, Music Technology Group (2026), CC BY 4.0.
The recordings were edited and processed, then used to train the voice models in this pack. The Kenji voice model is licensed under CC BY-SA 4.0.
Owen
Felix
June
Theo
Kenji
Nora
Elise
Iris
Maya
Or make your own. The pack maker turns a few minutes of someone singing into a singer of your own. Included with autochoir2.
A children’s choir.
Here’s a demo of a pack trained on six children’s voices. This pack is not included — the voices were stem-extracted from music we do not have the rights to.
the community pack
Sing for it.
Six seats, sung by people who use autochoir.
Send us about twenty minutes of you singing and we’ll give you a copy of autochoir2 for free, as long as you gave it an earnest shot. You might also end up in the pack, with the name and face you picked. Any voice, trained or not.
macOS 13.4+ · Windows 10+ 64-bit · not Pro Tools yet · requirements
autochoir legacy, free