native-messaging-espeak-ng
DeepSpeech
native-messaging-espeak-ng | DeepSpeech | |
---|---|---|
21 | 68 | |
4 | 24,380 | |
- | 1.0% | |
6.7 | 0.0 | |
10 months ago | 3 months ago | |
JavaScript | C++ | |
- | Mozilla Public License 2.0 |
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native-messaging-espeak-ng
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Have we reached a point of no return on managing software dependencies?
I'm just trying to use coqui-ai/TTS so I can stream speech synthesis output to the browser as I do with eSpeak NG https://github.com/guest271314/native-messaging-espeak-ng. I think the issue has been brought up before on GitHub. I have not read a solution. I am ready to try again if you can suggest a minimal build process.
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Deno should target the browser officially
You can use a Native Messaging host to run local code controlled from the browser. See native-messaging-deno for a general purpose and extensible solution and deno-server where Deno's serveTls is dynamically started to run a local application, stream stdout from the application to the browser, then stop the local server.
- Streaming speech synthesis output to the browser using Bash with GNU head and Native Messaging
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Execute Terminal Commands and Receive Live Output with React SSE
A single page Deno server can be found here https://github.com/guest271314/native-messaging-espeak-ng/blob/deno-server/local_server.js. I have used this source code // https://github.com/chcunningham/atomics-post-message/blob/main/server.js, renamed to server.msj modified to use Ecmascript Modules instead of CommonJS, e.g.,
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IAMA senior javascript dev, ask me anything
I've already achieved the requirement multiple ways, already; from using Native Messaging https://github.com/guest271314/native-messaging-espeak-ng, to using GNU Core Utilities tail, to Deno.watchFs() https://github.com/guest271314/fs, et al., see captureSystemAudio. The one approach I have not yet achieved is compiling to Emscripten - with SSML support.
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how to fix these errors when trying to request from a rest API?
Create a self-signed certificate. If you are on Chromium or Chrome launch with --ignore-certificate-errors-spki-list=.... Read this https://github.com/GoogleChrome/samples/blob/gh-pages/webtransport/webtransport_server.py#L42-L72. This is how I use HTTPS for Deno and Node local servers and WebTransport https://github.com/guest271314/native-messaging-espeak-ng/tree/deno-server.
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Which backend JavaScript framework is the one you use ?
I use the source code for Deno's serveTls https://github.com/guest271314/native-messaging-espeak-ng/blob/deno-server/local_server.js and wrote a Web server module for QuickJS https://github.com/guest271314/webserver-c/tree/quickjs-webserver.
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[Express] - How to have a self-updating display in browser window? Template Engines sufficient? Or use Vue/Angular/React?]
This https://github.com/guest271314/native-messaging-espeak-ng/tree/deno-server is what I do using Deno
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Web Speech API is (still) broken on Linux circa 2023
I created https://github.com/guest271314/native-messaging-espeak-ng which provides a means to send text or SSML to the eSpeak NG speech synthesis engine and parse the generated WAV in the browser. That bypasses waiting around another N years for Google to prioritize Web Speech API, which I see no evidence of Google doing - except for its cloud service.
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Build a Text-to-Speech component in React
I merely read the article to see how the author was implementing "Text-to-Speech"; how they implemented "Text-to-Speech"; e.g., native-messaging-espeak-ng to overcome or avoid the multiple issues and limitations with using the specified Web Speech API in the browser.
DeepSpeech
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ESpeak-ng: speech synthesizer with more than one hundred languages and accents
As I understand it DeepSpeech is no longer actively maintained by Mozilla: https://github.com/mozilla/DeepSpeech/issues/3693
For Text To Speech, I've found Piper TTS useful (for situations where "quality"=="realistic"/"natual"): https://github.com/rhasspy/piper
For Speech to Text (which AIUI DeepSpeech provided), I've had some success with Vosk: https://github.com/alphacep/vosk-api
- Common Voice
- Ask HN: Speech to text models, are they usable yet?
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Looking to recreate a cool AI assistant project with free tools
- [DeepSpeech](https://github.com/mozilla/DeepSpeech) rather than Whisper for offline speech-to-text
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest way to implement it using free, open-source software. Here's what he used originally, followed by some open source candidates I'm considering but would love feedback and advice before starting: Original Tools: - YoloV8 does the heavy lifting with the object detection - OpenAI Whisper handles voice - GPT-4 handles the “AI” - Google Custom Search Engine handles web browsing - MacOS/iOS handles streaming the video from my iPhone to my Mac - Python for the rest Open Source Alternatives: - [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection - Replacing GPT-4 is still a challenge as I know there are some good open-source LLms like Llama 2, but I don't know how to apply this in the code perhaps in the form of api - [DeepSpeech](https://github.com/mozilla/DeepSpeech) rather than Whisper for offline speech-to-text - [Coqui TTS](https://github.com/coqui-ai/TTS) instead of Whisper for text-to-speech - Browser automation with [Selenium](https://www.selenium.dev/) instead of Google Custom Search - Stream video from phone via RTSP instead of iOS integration - Python for rest of code I'm new to working with tools like OpenCV, DeepSpeech, etc so would love any advice on the best way to replicate the original project in an open source way before I dive in. Are there any good guides or better resources out there? What are some pitfalls to avoid? Any help is much appreciated!
- Speech-to-Text in Real Time
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Linux Mint XFCE
algo assim? https://github.com/mozilla/DeepSpeech
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Are there any secure and free auto transcription software ?
If you're not afraid to get a little technical, you could take a look at mozilla/DeepSpeech (installation & usage docs here).
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Web Speech API is (still) broken on Linux circa 2023
There is a lot of TTS and SST development going on (https://github.com/mozilla/TTS; https://github.com/mozilla/DeepSpeech; https://github.com/common-voice/common-voice). That is the only way they work: Contributions from the wild.
- Deepspeech /common voice.
What are some alternatives?
GoogleNetworkSpeechSynthesis - Google's Network Speech Synthesis: Bring your own Google API key and proxy
Kaldi Speech Recognition Toolkit - kaldi-asr/kaldi is the official location of the Kaldi project.
speechd - Common high-level interface to speech synthesis
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)
speech-api - Web Speech API
picovoice - On-device voice assistant platform powered by deep learning
AudioWorkletStream - fetch() => ReadableStream => AudioWorklet
STT - 🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
webserver-c - A simple HTTP webserver written in C.
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
captureSystemAudio - Capture system audio ("What-U-Hear")
PaddleSpeech - Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.