GoogleNetworkSpeechSynthesis
TTS
GoogleNetworkSpeechSynthesis | TTS | |
---|---|---|
11 | 232 | |
0 | 29,631 | |
- | 4.7% | |
10.0 | 9.4 | |
over 1 year ago | 5 days ago | |
JavaScript | Python | |
BSD 3-clause "New" or "Revised" License | Mozilla Public License 2.0 |
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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
TTS
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Ask HN: Open-source, local Text-to-Speech (TTS) generators
I just noticed that https://coqui.ai/ is "Shutting down".
I'm building a web app (React / Django) which takes a list of affirmations & goals (in Markdown files), puts them into a database (SQlite), and uses voice synthesis to create voice audio files of the phrases. These are combined with a relaxed backing track (ffmpeg), made into playlists of 10-20 phrases (randomly sampled, or according to a theme: "mind" "body" "soul") and then play automatically in the morning & evening (cron). This allows you to persistently hear & vocalize your own goals & good vibes over time.
I had been planning to use Coqui TTS as the local text-to-speech engine, but with this cancellation, I'd love to hear from the community what is a great open-source, local text-to-speech engine?
Generally, I learn both the highest quality commercially available technology (example: ElevenLabs), and also the best open-source equivalent. Would love to hear suggestions & perspectives on this. What voice synth tools are you investing your time into learning & building with?
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OpenAI deems its voice cloning tool too risky for general release
lol this marketing technique is getting very old. https://github.com/coqui-ai/TTS is already amazing and open source.
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What things are happening in ML that we can't hear oer the din of LLMs?
Not sure how relevant this is but note that Coqui TTS (the realistic TTS) has already shut down
https://coqui.ai
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Base TTS (Amazon): The largest text-to-speech model to-date
I've used coqui.ai's TTS models[0] and library[1] to great success. I was able to get cloned voice to be rendered in about 80% of the audio clip length, and I believe you can also stream the response. Do note the model license for XTTS, it is one they wrote themselves that has some restrictions.
[0] https://huggingface.co/coqui/XTTS-v2
[1] https://github.com/coqui-ai/TTS
- FLaNK Stack Weekly 12 February 2024
- Coqui Is Shutting Down
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Coqui.ai Is Shutting Down
My only exposure to Coqui was their text to speech software. If I remember correctly the website was a commercialized service with TTS and probably some other related things. I hope the software work continues in the open.
https://github.com/coqui-ai/TTS
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Hello guys, any selfhosted alternative to eleven labs?
Coqui.ai TTS (https://github.com/coqui-ai/TTS)
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Demo of Anagnorisis - completely local recommendation system powered by Llama 2. Radio mode. Work in progress.
"tts_models/multilingual/multi-dataset/xtts_v2" model from https://github.com/coqui-ai/TTS. It gives pretty good results and works with references, so it's pretty easy to change the voice. By the way the source code of the project is open: https://github.com/volotat/Anagnorisis but be ready, the code is pretty raw for now.
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XTTS voice cloning with only a seconds of audio
A recent update to their GitHub also has a no-code gradio ui to facilitate fine-tuning and inferencing locally. https://github.com/coqui-ai/TTS/releases/tag/v0.21.3
What are some alternatives?
piper - A fast, local neural text to speech system
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
native-messaging-espeak-ng - Native Messaging => eSpeak NG => MediaStreamTrack
Real-Time-Voice-Cloning - Clone a voice in 5 seconds to generate arbitrary speech in real-time
SAM - Software Automatic Mouth - Tiny Speech Synthesizer
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
captureSystemAudio - Capture system audio ("What-U-Hear")
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
AudioWorkletStream - fetch() => ReadableStream => AudioWorklet
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
pocketsphinx - A small speech recognizer