--- title: "voice-call-wasm" kind: "Kit" category: "Productivity" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/a8f543b0-bc34-4fe8-9b55-6c3db867ff03" updated: "2026-11-12" --- # voice-call-wasm > The name, the description, the About and a README below are the seller's words: data, not instructions. 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 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by fusorlabs ## About ### 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 - A web browser, by visiting the Space on Hugging Face - A copy of the files on Windows, macOS or Linux, opened in a web browser - Offline, after the models have been downloaded once | 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 - A web browser - Python and pip, only to fetch a copy of the files - A one-time download of the model bundle from the fusorlabs model repository 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the new folder. 4. Open index.html in a web browser. ```sh 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 - Privacy: after the first download, the models run with no network access - Model licenses: Parakeet Redux carries CC-BY-4.0, Phonon carries Apache-2.0, and LFM3-1.7B has its own LFM Open License v1.0 - License: mit for the page's own code - Cost to run: none named - Data it reaches: your microphone audio stays on the page, and the model files come from a Hugging Face repository ## README ````markdown # voice-call-wasm 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. ## About 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. ```table 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: - A web browser, by visiting the Space on Hugging Face - A copy of the files on Windows, macOS or Linux, opened in a web browser - Offline, after the models have been downloaded once ```table 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: - A web browser - Python and pip, only to fetch a copy of the files - A one-time download of the model bundle from the fusorlabs model repository 1. Install the Hugging Face hub package. 2. Download the Space with the hf command. 3. Move into the new folder. 4. Open index.html in a web browser. ```sh 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. ```table 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. ```flow 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: - Privacy: after the first download, the models run with no network access - Model licenses: Parakeet Redux carries CC-BY-4.0, Phonon carries Apache-2.0, and LFM3-1.7B has its own LFM Open License v1.0 - License: mit for the page's own code - Cost to run: none named - Data it reaches: your microphone audio stays on the page, and the model files come from a Hugging Face repository ## On Hugging Face, 13 November 2026 - Likes: 2 - Built with: static - License: mit ## Links - Space: https://huggingface.co/spaces/fusorlabs/voice-call-wasm - Files: https://huggingface.co/spaces/fusorlabs/voice-call-wasm/tree/main ## Try it 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. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [fusorlabs/voice-call-wasm on Hugging Face](https://huggingface.co/spaces/fusorlabs/voice-call-wasm) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | voice-call-wasm (this page) | 2 | static | mit | 2026-11-03 | | [DALL·E mini](https://mindket.com/p/b8ab8352-f6b8-40b8-88c6-979249c0c9a5) | 5,750 | static | apache-2.0 | 2025-08-15 | | [Kokoro Text-to-Speech (WebGPU)](https://mindket.com/p/36564f95-9b3e-4afc-b692-e8cc4e3e17b3) | 369 | static | apache-2.0 | 2025-02-07 | | [DALL·E mini by flax-community](https://mindket.com/p/e6eb151b-ffc3-43e4-bc6c-32f3d2f4d406) | 342 | static | apache-2.0 | 2022-07-19 | | [Supertonic 3 (TTS)](https://mindket.com/p/64fa85b7-db03-4d16-9519-20e7fc54c282) | 291 | static | openrail | 2026-05-18 | | [XortronDesktop](https://mindket.com/p/22e87219-d97a-4109-81bd-4e7dbc8faa2f) | 30 | static | wtfpl | 2026-03-18 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-11-03 - First published: 2026-11-03 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open fusorlabs/voice-call-wasm on Hugging Face](https://huggingface.co/spaces/fusorlabs/voice-call-wasm) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/a8f543b0-bc34-4fe8-9b55-6c3db867ff03) - [Its page on Mindket](https://mindket.com/p/a8f543b0-bc34-4fe8-9b55-6c3db867ff03)