mimic3
piper
mimic3 | piper | |
---|---|---|
24 | 33 | |
972 | 4,075 | |
1.9% | 14.0% | |
0.0 | 8.6 | |
5 months ago | 2 days ago | |
Python | C++ | |
GNU Affero General Public License v3.0 | MIT License |
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mimic3
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ArXiv Papers as Audiobooks
I'd like to take advantage of high quality TTS models but I'd prefer it to be one I may host myself.
Haven't found the right way yet, I'm considering: https://github.com/MycroftAI/mimic3
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Any recommendation for human like voice AI model for conversation AI?
Fast or good, choose one
Mozilla's TTS is a python package installable with pip and uses cpu or gpu resources to render a choice of voices, they mostly sound natural and this is the good. https://github.com/mozilla/TTS
Mycroft's mimic3 is the default voice renderer for the Mycroft project that runs on pi hardware and sounds ok-ish, that is the fast. https://github.com/MycroftAI/mimic3
There are many others but these are the two I use according to if it needs to run on limited hardware or if the cycles fall freely from the sky.
- I used mimic3 in a few projects. It's relatively lightweight for a neural tts and gives acceptable results
- Mimic 3 Privacy-Focused Neural Text-to-Speech
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Serverless voice chat with Vicuna-13B
It took quite a bit of digging to find the repo link https://github.com/MycroftAI/mimic3#readme and it's AGPL-3 for those interested in such things
- AI text-to-speech for private, non-commercial use?
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Ask HN: Cool and Useful Dockerized Apps?
Recently seeing this testing mailserver linked on HN: https://tweedegolf.nl/en/blog/86/introducing-mailcrab
I was reminded of another useful tool, mimic3 by MycroftAI that gives you very nice TTS: https://github.com/MycroftAI/mimic3
So I was wondering: what other useful apps have been containerized for easy setup and great usefulness?
Basically the point of this question is to let people share these, for the benefit of all.
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Text to speech
You could also try the successor but they didn't get around implementing the harvard voice yet and we don't like any of the voices that come with it.
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Google tts/ amazon polly alternative?
https://github.com/MycroftAI/mimic3 this? it can be easily hosted on docker as well
- [D] Best TTS for a GPT powered voice assistant
piper
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WhisperSpeech β An Open Source text-to-speech system built by inverting Whisper
If you're not already aware, the primary developer of Mimic 3 (and its non-Mimic predecessor Larynx) continued TTS-related development with Larynx and the renamed project Piper: https://github.com/rhasspy/piper
Last year Piper development was supported by Nabu Casa for their "Year of Voice" project for Home Assistant and it sounds like Mike Hansen is going to continue on it with their support this year.
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Coqui.ai Is Shutting Down
Coqui-ai was a commercial continuation of Mozilla TTS and STT (https://github.com/mozilla/TTS).
At the time (2018-ish), it was really impressive for on-device voice synthesis (with a quality approaching the Google and Azure cloud-based voice synthesis options) and open source, so a lot of people in the FOSS community were hoping it could be used for a privacy-respecting home assistant, Linux speech synthesis that doesn't suck, etc.
After Mozilla abandoned the project, Coqui continued development and had some really impressive one-shot voice cloning, but pivoted to marketing speech synthesis for game developers. They were probably having trouble monetizing it, and it doesn't surprise me that they shut down.
An equivalent project that's still in active development and doing really well is Piper TTS (https://github.com/rhasspy/piper).
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OpenVoice: Versatile Instant Voice Cloning
There isn't an ElevenLabs app like that, but I think that's the most expedient method, by far.
(details and warning: in-depth, opinionated take, written almost for my own benefit, I've done a lot of work near here recently but haven't had to organize my thoughts until now)
Why? Local inference is hard. You need two things: the clips to voice model (which we have here, but bleeding edge), and text + voice -> speech model.
Text to voice to speech, locally, has excellent prior art for me, in the form of a Raspberry Pi-based ONNX inference library called [Piper](https://github.com/rhasspy/piper). I should just be able to copy that, about an afternoon of work!
Except...when these models are trained, they encode plaintext to model input using a library called eSpeak. eSpeak is basically f(plaintext) => ints representing phonemes. eSpeak is a C library and written in a style I haven't seen in a while and depends on other C libraries. So I end up needing to port like 20K lines of C to Dart...or I could use WASM, but over the last year, I lost the ability to be able to reason through how to get WASM running in Dart, both native and web.
It's a really annoying technical problem: the speech models all use this eSpeak C library to turn plaintext => model input (tokenized phonemes).
Re: ElevenLabs
I had looked into the API months ago and vaguely remembered it was _very_ complete.
I spent the last hour or two playing with it, and reconfirmed that. They have enough API surface that you could build an API that took voice recordings, created a voice, and then did POSTs / socket connection to get audio data from that voice at will.
Only issue is pricing IMHO, $0.18 for 1000 characters. :/ But this is something I feel very comfortable saying wouldn't be _that_ much work to build and open source with a "bring your own API key" type thing. I had forgotten about Eleven Labs till your post, which made me realize there was an actually meaningful and quite moving use case for it.
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Hello guys, any selfhosted alternative to eleven labs?
piper (https://github.com/rhasspy/piper)
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[D] What offline TTS Model is good enough for a realistic real-time task?
I have been using piper-tts and it is GREAT and super lightweight / easy to use. On a 2080 I'm sure you can use the HQ models no worries!
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Easy implement TTS libary for cpp
So i found some library and one which is from github and have read.me or good documentation called piper (https://github.com/rhasspy/piper) so apparently this library is for rasbery pi and yes there is TXT function and i need to modify again to make it more simple but my simple project don't need this kind of big complex libary and all i need is what i said before just a function that can output sound from computer using c++ libary.
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Piper-whistle β Tool for piper TTS voice model management
piper-whistle is a tool to manage voices used with the piper (https://github.com/rhasspy/piper) speech synthesizer. Main motivation was to download and reference models in a structured way. You may browse the docs online at https://think-biq.gitlab.io/piper-whistle/
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StyleTTS2 β open-source Eleven Labs quality Text To Speech
You may want to try Piper for this case (RPi 4): https://github.com/rhasspy/piper
- Piper: A fast, local neural text to speech system
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Open Source Libraries
rhasspy/piper
What are some alternatives?
TTS - πΈπ¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
bark - π Text-Prompted Generative Audio Model
mimic-recording-studio - Mimic Recording Studio is a Docker-based application you can install to record voice samples, which can then be trained into a TTS voice with Mimic2
espeak-ng - eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
mimic3-voices - Voice models for Mimic 3 text to speech system
willow - Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative
GoogleNetworkSpeechSynthesis - Google's Network Speech Synthesis: Bring your own Google API key and proxy