larynx
watchtower
larynx | watchtower | |
---|---|---|
18 | 215 | |
788 | 16,889 | |
- | 1.6% | |
0.0 | 8.2 | |
11 months ago | 10 days ago | |
Python | Go | |
MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
larynx
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Home Assistant’s Year of the Voice – Chapter 2
The most exciting thing about Home Assistant's "Year of the Voice", for me, is that it is apparently enabling/supporting @synesthesiam's continued phenomenal contributions to the FLOSS off-line voice synthesis space.
The quality, variety & diversity of voices that synesthesiam's "Larynx" TTS project (https://github.com/rhasspy/larynx/) made available, completely transformed the Free/Open Source Text To Speech landscape.
In addition "OpenTTS" (https://github.com/synesthesiam/opentts) provided a common API for interacting with multiple FLOSS TTS projects which showed great promise for actually enabling "standing on the shoulders of" rather than re-inventing the same basic functionality every time.
The new "Piper" TTS project mentioned in the article is the apparent successor to Larynx and, along with the accompanying LibriTTS/LibriVox-based voice models, brings to FLOSS TTS something it's never had before:
* Too many voices! :)
Seriously, the current LibriTTS voice model version has 900+ voices (of varying quality levels), how do you even navigate that many?![0]
And that's not even considering the even higher quality single speaker models based on other audio recording sources.
Offline TTS while immensely valuable for individuals, doesn't seem to be attractive domain for most commercial entities due to lack of lock-in/telemetry opportunities so I was concerned that we might end up missing out on further valuable contributions from synesthesiam's specialised skills & experience due to financial realities & the human need for food. :)
I'm glad we instead get to see what happens next.
[0] See my follow-up comment about this.
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Text to speech
Larynx!
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Ask HN: Are there any good open source Text-to-Speech tools?
I've had good results with https://github.com/rhasspy/larynx
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Recommend a Text to Speech tool ?
Larynx is a really good text-to-speech engine
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Klipper on android
I was able to install 3.7 following this guide. https://github.com/rhasspy/larynx/issues/9
- I built an audio only Gemini client.
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NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level Quality
If you've not already encountered them I'd definitely encourage you to check out these Free/Open Source projects too:
* Larynx: https://github.com/rhasspy/larynx/
* OpenTTS: https://github.com/synesthesiam/opentts
* Likely Mimic3 in the near future: https://mycroft.ai/blog/mimic-3-preview/
Larynx in particular has a focus on "faster than real-time" while OpenTTS is an attempt to package & provide common REST API to all Free/Open Source Text To Speech systems so the FLOSS ecosystem can build on previous work supported by short-lived business interests, rather than start from scratch every time.
AIUI the developer of the first two projects now works for Mycroft AI & is involved in the development of Mimic3 which seems very promising given how much of an impact on quality his solo work has had in just the past couple of years or so.
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Need a recommendation: Self hosted speech to text service
I haven't used it on it's own, but Larynx has worked well for me for Rhasspy
- NATSpeech: High Quality Text-to-Speech Implementation with HuggingFace Demo
- Question: Does anybody know of a working Text to Speech for python on pi?
watchtower
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My deployment platform is a shell script
Related: https://github.com/containrrr/watchtower
- PSA - Run "docker image prune" once in a while.
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Roundcube Open-Source Webmail Software Merges with Nextcloud
> if you're using the docker image, upgrades are a breeze. Just bump the tag on the image, redeploy, and you're done.
Or you could just run Watchtower beside it and it will automatically update your docker containers. https://github.com/containrrr/watchtower If you are OK with automated updates.
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The Curse of Docker
So i primarily use containers on my local machine walled off from the internet, so it's not a big concern for me. Watchtower [1] is popular among home server users too which automatically updates containers to the latest image.
For production uses I think companies generally build their own containers. They would have a common base linux container and build the other containers based off that with a typical CI/CD pipeline. So if glibc is patched, it's probably patched in the base container and the others are then rebuilt. You don't have to patch each container individually, just the base. Production also minimizes the scope of containers with nothing installed except what's necessary so they have few dependencies.
[1] https://github.com/containrrr/watchtower
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Ask HN: If you were to build a web app today what tech stack would you choose?
You can use Watchtower (https://containrrr.dev/watchtower/) that solves problem of manual pulling on VPS.
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Running watchtower weekly or whenever new image is available
I checked https://containrrr.dev/watchtower/ and Arguments, but I don't understand where to attach that using portainer.
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Long Term Ownership of an Event-Driven System
Again, there are options to automate some of the burden here by using tools such as Watchtower.
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Updating Docker Apps automagically with Watchtower✨🐳
Have you ever deployed a Docker app on a server, but everytime you push a new version of your image to a Docker registry you need to manually restart your app? If you want to automate this restarting, this blog post is for you! I am now going to show you how you can do this with literally 1 simple command using Watchtower!
- Plex Docker Saved me
- Watchtower updates
What are some alternatives?
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
ouroboros - Automatically update running docker containers with newest available image
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Diun - Receive notifications when an image is updated on a Docker registry
RHVoice - a free and open source speech synthesizer for Russian and other languages
Portainer - Making Docker and Kubernetes management easy.
NeMo - A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
docker-socket-proxy - Proxy over your Docker socket to restrict which requests it accepts
TTS - :robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
shepherd - Docker swarm service for automatically updating your services whenever their image is refreshed
rhasspy - Offline private voice assistant for many human languages
whats-up-docker - What's up Docker ( aka WUD ) gets you notified when a new version of your Docker Container is available.