MMmm983·Jul 11, 2021
https://github.com/NVIDIA/tacotron2
https://github.com/keithito/tacotron
https://github.com/NVIDIA/WaveGlow
In AI voice actors sound more human than ever–and are ready to hireNVIDIA
waveglow
Python2018–2021
NVIDIA / waveglow
waveglow
A Flow-based Generative Network for Speech Synthesis
4Distinct people
4Mentions
0Explicit recommenders
2.3KGitHub stars
What to know before exploring
What it is
A Flow-based Generative Network for Speech Synthesis
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
- keithito/tacotron · linked in 2 of the same discussions
- nvidia/tacotron2 · linked in 2 of the same discussions
Mentioned in the same Hacker News threads. That is not proof they are substitutes.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 1:49:46 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year4 dated mentions
Observed mentions: 2018-11-08 05:26:25 UTC to 2021-07-11 09:24:23 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2018 | 2018-01-01 00:00:00 UTC | 2019-01-01 00:00:00 UTC | 3 | 1 | 2 |
| 2019 | 2019-01-01 00:00:00 UTC | 2020-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2020 | 2020-01-01 00:00:00 UTC | 2021-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 1 | 0 | 1 |
What Hacker News says
4 sourcesWorth noting that a big chunk of the core TTS code here is built on tools from other researchers like Ryuichi Yamamoto and Keith Ito, and they have great implementations to check out as well.
The best quality I have heard in OSS is probably [1] from Ryuichi using the Tacotron 2 implementation of Rayhane Mamah, which is loosely what NVidia based some of their baseline code on recently as well [3][4].
There's also a colab notebook for this stuff, so you can try it directly without any pain https://colab.research.google.com/github/r9y9/Colaboratory/b...
I also have my own pipeline for this (using some utilities from the above authors + a lot of my own hacks), for a forthcoming paper release here https://github.com/kastnerkyle/representation_mixing/tree/ma... , see the minimal demo. It has pretty fast sampling, but the audio quality is not a
Read the rest
s high as WaveNet. I'd really like to tie in with WaveGlow, but it's work in progress for me so far.
NOTE: None of these have voice adaptivity per se, but given a model which trains well already + a multispeaker dataset with IDs such as VCTK, a lot of things become possible as getting a baseline model and data pipeline for TTS is quite difficult.
[0] https://github.com/keithito/tacotron
[1] https://r9y9.github.io/blog/2018/05/20/tacotron2/
[2] https://github.com/Rayhane-mamah/Tacotron-2
[3] https://github.com/NVIDIA/waveglow
[4] https://github.com/NVIDIA/tacotron2
Nvidia Waveglow: A Flow-Based Generative Network for Speech Synthesis
8 points · Open discussionSource code: https://github.com/NVIDIA/waveglow
In WaveGlow: A Flow-Based Generative Network for Speech Synthesis