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Larynx Demo

synesthesiam · 13.8K views · 2021-08-24 · 54:13:03

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Overview

A demonstration of Larynx, an offline open source neural text-to-speech system supporting nine languages. The video itself is narrated with a Larynx-generated voice.

On Hacker News

HN points to it as proof that offline TTS can sound natural, relevant to private voice assistant alternatives.

Recommended by 3 HN people across 2 months · HN mentions 2021–2023

Topics

Computer vision, speech & NLP
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larynxttsopen sourceneural voiceprivacy

What people said

sublinear · 2023-02 · Recommendation

Found this project the other day that is probably good enough quality for most uses i.e. sounds very natural and not like a robot from the 1980s and doesn't require a cloud service and can run on modest hardware [LINK] Demo: [VIDEO]

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follower · 2021-12 · Recommendation

It's unfortunate that another comment that links to Rhasspy has been downvoted (I assume because it lacked any other context) so I wanted to mention the project with some additional context: [LINK] While I've not used the entire Rhasspy project myself (but trying it out is on the long list of things to do :) ) I have used the offline Text-To-Speech sub-project Larynx... ...and it is amazing ! Larynx is significantly ahead in terms of quality of output & variety of voices (fifty--across multiple languages, accents & genders) of any other FLOSS Text-To-Speech project I've tried. I think the relative new-ness of the project is part of the reason Larynx ( [LINK] ) currently flies under the radar. If the rest of Rhasspy is as good as Larynx I'd imagine it's worth trying out. Larynx demo video: [VIDEO] Samples of pre-trained voices: [LINK]

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2Gkashmiri · 2021-12 · Recommendation

yeah, [VIDEO] at the end says southern female english [LINK] but the sample is NOT like the video, maybe the samples are old. the video is a great example

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Sources

Video by synesthesiam, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

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