native-messaging-espeak-ng
NumPy
native-messaging-espeak-ng | NumPy | |
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21 | 272 | |
4 | 26,459 | |
- | 1.2% | |
6.7 | 10.0 | |
10 months ago | 1 day ago | |
JavaScript | Python | |
- | GNU General Public License v3.0 or later |
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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.
NumPy
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Dot vs Matrix vs Element-wise multiplication in PyTorch
In NumPy with @, dot() or matmul():
- NumPy 2.0.0 Beta1
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Element-wise vs Matrix vs Dot multiplication
In NumPy with * or multiply(). ` or multiply()` can multiply 0D or more D arrays by element-wise multiplication.
- JSON dans les projets data science : Trucs & Astuces
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JSON in data science projects: tips & tricks
Data science projects often use numpy. However, numpy objects are not JSON-serializable and therefore require conversion to standard python objects in order to be saved:
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Introducing Flama for Robust Machine Learning APIs
numpy: A library for scientific computing in Python
- help with installing numpy, please
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A Comprehensive Guide to NumPy Arrays
Python has become a preferred language for data analysis due to its simplicity and robust library ecosystem. Among these, NumPy stands out with its efficient handling of numerical data. Let’s say you’re working with numbers for large data sets—something Python’s native data structures may find challenging. That’s where NumPy arrays come into play, making numerical computations seamless and speedy.
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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NumPy 2.0 development status & announcements: major C-API and Python API cleanup
I wish the NumPy devs would more thoroughly consider adding full fluent API support, e.g. x.sqrt().ceil(). [Issue #24081]
What are some alternatives?
GoogleNetworkSpeechSynthesis - Google's Network Speech Synthesis: Bring your own Google API key and proxy
SymPy - A computer algebra system written in pure Python
DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
speechd - Common high-level interface to speech synthesis
blaze - NumPy and Pandas interface to Big Data
speech-api - Web Speech API
SciPy - SciPy library main repository
AudioWorkletStream - fetch() => ReadableStream => AudioWorklet
Numba - NumPy aware dynamic Python compiler using LLVM
webserver-c - A simple HTTP webserver written in C.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).