Rare find

E2 TTS. Turn text into natural-sounding speech without complex setup.

github.com/lucidrains/e2-tts-pytorch

Problem

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Audience

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Market

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Pricing

The full read on this project is a sign-in away — what it solves, who it serves, and where it sits in the market.

Vaya's read on this project

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Updates

December 2025

Release —2.2.2 Dec 20
add setting for model output clean prediction Dec 20

March 2025

Release —2.2.1 Mar 12
add ability to be guided with a smaller worse model, from a paper by … Mar 12
Release —2.1.1 Mar 9
add maybe fourier features before speech attention Mar 9

February 2025

plug nanospeech from @lucasnewman Feb 12
Release —2.0.0 Feb 10
Merge pull request #46 from lucidrains/freq-axis Feb 10
complete the frequency axis for @lucasnewman Feb 10
take the naive approach and just project all frequencies into number … Feb 10
transformer needs to match what the parent wrapper passes in (frequen… Feb 10
missing add residual after freq attn Feb 10
some groundwork to prepare for attending across frequency tokens, as … Feb 10
Release —1.8.3 Feb 8
patch hl gauss again Feb 8
Release —1.8.2 Feb 7
patch again Feb 7
patch Feb 7
Release —1.8.0 Feb 6
allow for using HL-Gauss in the duration predictor last layer https:/… Feb 6

December 2024

Release —1.7.1 Dec 26
add hyper connections and cite, default to 4 residual streams Dec 26
Release —1.6.3 Dec 19
add learned residual scaling for main transformer path Dec 19
Release —1.6.2 Dec 3
update for tweaks to laser Dec 3
laser attention appears to work well Dec 2

November 2024

oops Nov 23
add learned value residual mixing + add adopt as default Nov 23