piper
GoogleNetworkSpeechSynthesis
piper | GoogleNetworkSpeechSynthesis | |
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39 | 11 | |
4,075 | 0 | |
14.0% | - | |
8.6 | 10.0 | |
4 days ago | over 1 year ago | |
C++ | JavaScript | |
MIT License | BSD 3-clause "New" or "Revised" License |
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piper
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ESpeak-ng: speech synthesizer with more than one hundred languages and accents
After some brief research it seems the issue you're seeing may be a known bug in at least some versions/release of espeak-ng.
Here's some potentially related links if you'd like to dig deeper:
* "questions about mandarin data packet #1044": https://github.com/espeak-ng/espeak-ng/issues/1044
* "ESpeak NJ-1.51βs Mandarin pronunciation is corrupted #12952": https://github.com/nvaccess/nvda/issues/12952
* "The pronunciation of Mandarin Chinese using ESpeak NJ in NVDA is not normal #1028": https://github.com/espeak-ng/espeak-ng/issues/1028
* "When espeak-ng translates Chinese (cmn), IPA tone symbols are not output correctly #305": https://github.com/rhasspy/piper/issues/305
* "Please default ESpeak NG's voice role to 'Chinese (Mandarin, latin as Pinyin)' for Chinese to fix #12952 #13572": https://github.com/nvaccess/nvda/issues/13572
* "Cmn voice not correctly translated #1370": https://github.com/espeak-ng/espeak-ng/issues/1370
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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
GoogleNetworkSpeechSynthesis
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Who is using Web Speech API in their Web sites?
If you want you can use Google's TTS service without Web Speech API with a proxy, see GoogleNetworkSpeechSynthesis. I made a feature request for Google to release the source code as FOSS Re: Issue 263510047: Release TTS and STT source code and Google voices as FOSS so we don't have to make external requests just to use Web Speech API.
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Is there a good text to speech program for linux?
I requested to Google to Release TTS and STT source code and Google voices as FOSS which you can request over the network here GoogleNetworkSpeechSynthesis. Those are the voices Google Chrome uses for Web Speech API. Feel free to chime on the feature request in in support of Google releasing the source code of its network-based cloud service (that google uses for Web Speech API implementation) TTS and SST code as FOSS.
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Google Cloud Text to Speech API: The Future of AI Voice Synthesis
Technically you can use Google API key shipped in the browser see guest271314/ GoogleNetworkSpeechSynthesis . No need to sign up for a Google account to use this. I don't think Google's TTS is related to "AI".
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Web Speech API is (still) broken on Linux circa 2023
This is how you can make the request yourself GoogleNetworkSpeechSynthesis.
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Build a Text-to-Speech component in React
If anybody want to build a TTS "module" or "component" that accepts and processes SSML input, and that the user can control - to an appreciable degree - on the front-end you can play around with this https://github.com/guest271314/GoogleNetworkSpeechSynthesis. (Makes an external request). Have fun!
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how do you make mockups and portfolio with everything requiring paid API
It is possible to use Google Network Speech Synthesis service "free of charge", see GoogleNetworkSpeechSynthesis. On Chrome if you use Google voices with SpeechSynthesisUtterance() and window.speechSynthesis.speak() you are doing that anyway.
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[AskJS] You have mastered writing JavaScript from scratch, why use TypeScript?
I implemented SSML parsing in JavaScript by hand for Web Speech API per SSML specification https://github.com/guest271314/SSMLParser, where the Web Speech API nor Firefox nor Chrome or Chromium browsers (Google does implement SSML parsing as a service https://github.com/guest271314/GoogleNetworkSpeechSynthesis) have implemented SSML parsing.
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I Created A Web Speech API NPM Package Called SpeechKit
FYI when Google voices are used on Chrome or Chromium-based browsers the browser also makes a remote request, see https://github.com/guest271314/GoogleNetworkSpeechSynthesis.
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[AskJS] Do specification authors and implementers listen to developers in the field?
How is processing SSML an attack vector? Google provides that capability as a service - with embedded limitations on character input that are not specified. This can and should be implemented in the browser - without making an external request; native-messaging-espeak-ng, GoogleNetworkSpeechSynthesis.
- Google Network Speech Synthesis
What are some alternatives?
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
native-messaging-espeak-ng - Native Messaging => eSpeak NG => MediaStreamTrack
TTS - πΈπ¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
SAM - Software Automatic Mouth - Tiny Speech Synthesizer
espeak-ng - eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.
captureSystemAudio - Capture system audio ("What-U-Hear")
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
AudioWorkletStream - fetch() => ReadableStream => AudioWorklet
mimic3 - A fast local neural text to speech engine for Mycroft
pocketsphinx - A small speech recognizer
willow - Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative
public-apis - A collective list of free APIs