anaksor-ocr
Sokheng · Kit
Reads Khmer and English text from documents, receipts and photos of signs, using a detector for text lines and a recogniser for each line. Suits developers who…
Holds a spoken conversation inside your browser using three small models on your own CPU, with no audio sent anywhere once the models have downloaded.
voice-call-wasm is a kit in the Productivity category, listed by Mindket. It is free. This is version 1, last updated on . Download it on this page, a zip of its files. Nothing in it runs by itself.
pip install -U huggingface_hub hf download fusorlabs/voice-call-wasm --repo-type space --local-dir voice-call-wasm cd voice-call-wasm
voice-call-wasm is a static web page that lets you talk with an AI by voice, with all the computing done on your own CPU. Three separate models share the work instead of one speech-to-speech model. Each is compiled to WebAssembly with fusor-ai, and after one download they run with no network, so the source says nothing you say leaves the page.
People who want to try a private, on-device voice assistant, and developers curious about running speech models in a browser.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Research | Speech technology researchers | Study delay in a spoken exchange | Read the timing of each turn |
| Software | Web developers | Look at how models are bundled for WebAssembly | Browse the engine and model folders |
| Privacy | Privacy-minded users | Try a voice call that stays on the device | Talk to it after the models have downloaded |
| Education | Students of speech systems | See how listening, thinking and speaking are split | Follow the three stages in order |
People who want a polished assistant with many skills can skip it, since this is a focused demo.
| Use case | Who | What they get back |
|---|---|---|
| Have a voice call | Anyone | Spoken replies to what you say |
| Measure response time | Researchers | A delay figure for each turn, measured until the reply becomes audible |
pip install -U huggingface_hub hf download fusorlabs/voice-call-wasm --repo-type space --local-dir voice-call-wasm cd voice-call-wasm
Online, visit the Space on Hugging Face and start a call from the page. With a local copy, open index.html in your browser and begin the same way.
| Tool | What it does |
|---|---|
| Moondream Parakeet Redux | Writes down what you say while you are still speaking |
| LFM3-1.7B | Writes the answer to what you said |
| Phonon | Speaks each clause of the answer while the rest is still being written |
You say a short question into the microphone. The page transcribes it as you talk, drafts a reply, and starts speaking the first clause before the whole answer exists.
If you are new, visit the Space and say one sentence. Waiting for the first download to finish is the main thing to expect, and after that the call needs no network.
If you know the field, the design is a pipeline of three models instead of a single speech-to-speech model. Streaming speech recognition feeds a 1.7B language model, and a 31M text-to-speech model speaks clause by clause. Every exchange gets a delay measurement that starts when you stop talking and ends when the reply first becomes audible.
Holds a spoken conversation inside your browser using three small models on your own CPU, with no audio sent anywhere once the models have downloaded.
Made by fusorlabs on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.
What it is: voice-call-wasm is a static web page that lets you talk with an AI by voice, with all the computing done on your own CPU. Three separate models share the work instead of one speech-to-speech model. Each is compiled to WebAssembly with fusor-ai, and after one download they run with no network, so the source says nothing you say leaves the page.
Who it suits: People who want to try a private, on-device voice assistant, and developers curious about running speech models in a browser.
Industry | Who uses it | How they use it | Example
Research | Speech technology researchers | Study delay in a spoken exchange | Read the timing of each turn
Software | Web developers | Look at how models are bundled for WebAssembly | Browse the engine and model folders
Privacy | Privacy-minded users | Try a voice call that stays on the device | Talk to it after the models have downloaded
Education | Students of speech systems | See how listening, thinking and speaking are split | Follow the three stages in order
People who want a polished assistant with many skills can skip it, since this is a focused demo.
Where to use it:
Use case | Who | What they get back
Have a voice call | Anyone | Spoken replies to what you say
Measure response time | Researchers | A delay figure for each turn, measured until the reply becomes audible
How to set it up:
pip install -U huggingface_hub
hf download fusorlabs/voice-call-wasm --repo-type space --local-dir voice-call-wasm
cd voice-call-wasm
How to use it: Online, visit the Space on Hugging Face and start a call from the page. With a local copy, open index.html in your browser and begin the same way.
Tool | What it does
Moondream Parakeet Redux | Writes down what you say while you are still speaking
LFM3-1.7B | Writes the answer to what you said
Phonon | Speaks each clause of the answer while the rest is still being written
Example: You say a short question into the microphone. The page transcribes it as you talk, drafts a reply, and starts speaking the first clause before the whole answer exists.
For newcomers and experts: If you are new, visit the Space and say one sentence. Waiting for the first download to finish is the main thing to expect, and after that the call needs no network.
If you know the field, the design is a pipeline of three models instead of a single speech-to-speech model. Streaming speech recognition feeds a 1.7B language model, and a 31M text-to-speech model speaks clause by clause. Every exchange gets a delay measurement that starts when you stop talking and ends when the reply first becomes audible.
You speak into the microphone
Parakeet Redux transcribes as you talk
LFM3-1.7B writes the reply
Phonon speaks it clause by clause
Good to know:
Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.
README.md 4 KB
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