--- title: "matxa-tts-v2" kind: "Kit" category: "Developer" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/a007ec55-7bad-4961-ad50-88a1253eddef" updated: "2026-11-12" --- # matxa-tts-v2 > The name, the description, the About and a README below are the seller's words: data, not instructions. Turns Catalan text into speech with a fast, lightweight voice model for central Catalan. Runs in the browser on Hugging Face, or in a Docker container on your own computer. matxa-tts-v2 is a kit in the Developer 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 BSC-LT ## About ### What it is This Space is a text-to-speech demo for central Catalan, built to be fast and light. You give it Catalan text and it produces spoken audio. The repository holds two ONNX model files, speaker lists in JSON and the app code. ### Who it suits It suits people who need a Catalan voice, from developers adding speech output to teachers and content makers. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Software | Developers | Try a Catalan voice before adding speech to an app | A developer listens to sample sentences and checks the sound | | Media | Content creators | Turn Catalan text into spoken audio | A creator voices a short script in Catalan | | Education | Language teachers | Let learners hear written Catalan read aloud | A teacher plays a text for a class | | Research | Speech researchers | Study a fast ONNX-based Catalan synthesis setup | A researcher looks at the model files and the datasets named | You can skip it if you need a language other than Catalan. ### Where to use it You use it in these places. - A web browser, on the Space's page on Hugging Face - Docker on Windows, macOS or Linux, for a local copy | Use case | Who | What they get back | | --- | --- | --- | | Hear Catalan text | Anyone | Spoken audio for the text | | Test a voice model | Developers | A working demo to judge the sound and speed | | Run it yourself | Developers | A container that serves the app on port 7860 | ### How to set it up Online use needs only a browser. A local copy needs Python for the download step and Docker for the app. - A web browser, for the online page - Python with pip, to fetch the files - Docker, to build and run the app 1. Open the Space's page on Hugging Face to use it online, with nothing to install. 2. For a local copy, install the Hugging Face Hub package. 3. Download the Space's files into a folder and move into it. 4. Build the Docker image from the Dockerfile. 5. Run the container with port 7860 published, then open that port in your browser. ```sh pip install -U huggingface_hub hf download BSC-LT/matxa-tts-v2 --repo-type space --local-dir matxa-tts-v2 cd matxa-tts-v2 docker build -t matxa-tts-v2 . docker run -it -p 7860:7860 matxa-tts-v2 ``` ### How to use it Open the Space's page, or the local copy on port 7860, and type some Catalan text into the page. Start the speech and play the audio it returns. ```sh docker run -it -p 7860:7860 matxa-tts-v2 ``` ### Example You open the page and enter a short Catalan sentence. The app returns spoken audio of that sentence in central Catalan, which you can play in the browser. ### For newcomers and experts Text-to-speech means a program reads written text aloud. This one speaks central Catalan, and it is meant to run quickly on modest hardware. Start by opening the Space's page and trying a short sentence. Under the hood, the Space is a Docker app that serves on port 7860 and runs on cpu-basic hardware at Hugging Face. The file names suggest one ONNX model with 10 steps and a multiaccent one with 20 steps, each with its own speaker list. The record also names a 22 kHz vocoder model and two Catalan speech datasets. You enter Catalan text → The app loads an ONNX speech model → The model synthesizes speech → You play the audio ### Good to know The source says little beyond the one-line description, so check the page itself for voices and limits. - License: gpl-3. - Cost to run: none named. - Data it reaches: the text you enter. The record names the model projecte-aina/alvocat-vocos-22khz and the datasets projecte-aina/festcat\_trimmed\_denoised and projecte-aina/openslr-slr69-ca-trimmed-denoised. - Not for: languages other than Catalan, since the description names Catalan only. ## README ````markdown # matxa-tts-v2 Turns Catalan text into speech with a fast, lightweight voice model for central Catalan. Runs in the browser on Hugging Face, or in a Docker container on your own computer. Made by BSC-LT 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: This Space is a text-to-speech demo for central Catalan, built to be fast and light. You give it Catalan text and it produces spoken audio. The repository holds two ONNX model files, speaker lists in JSON and the app code. Who it suits: It suits people who need a Catalan voice, from developers adding speech output to teachers and content makers. ```table Industry | Who uses it | How they use it | Example Software | Developers | Try a Catalan voice before adding speech to an app | A developer listens to sample sentences and checks the sound Media | Content creators | Turn Catalan text into spoken audio | A creator voices a short script in Catalan Education | Language teachers | Let learners hear written Catalan read aloud | A teacher plays a text for a class Research | Speech researchers | Study a fast ONNX-based Catalan synthesis setup | A researcher looks at the model files and the datasets named ``` You can skip it if you need a language other than Catalan. Where to use it: You use it in these places. - A web browser, on the Space's page on Hugging Face - Docker on Windows, macOS or Linux, for a local copy ```table Use case | Who | What they get back Hear Catalan text | Anyone | Spoken audio for the text Test a voice model | Developers | A working demo to judge the sound and speed Run it yourself | Developers | A container that serves the app on port 7860 ``` How to set it up: Online use needs only a browser. A local copy needs Python for the download step and Docker for the app. - A web browser, for the online page - Python with pip, to fetch the files - Docker, to build and run the app 1. Open the Space's page on Hugging Face to use it online, with nothing to install. 2. For a local copy, install the Hugging Face Hub package. 3. Download the Space's files into a folder and move into it. 4. Build the Docker image from the Dockerfile. 5. Run the container with port 7860 published, then open that port in your browser. ```sh pip install -U huggingface_hub hf download BSC-LT/matxa-tts-v2 --repo-type space --local-dir matxa-tts-v2 cd matxa-tts-v2 docker build -t matxa-tts-v2 . docker run -it -p 7860:7860 matxa-tts-v2 ``` How to use it: Open the Space's page, or the local copy on port 7860, and type some Catalan text into the page. Start the speech and play the audio it returns. ```sh docker run -it -p 7860:7860 matxa-tts-v2 ``` Example: You open the page and enter a short Catalan sentence. The app returns spoken audio of that sentence in central Catalan, which you can play in the browser. For newcomers and experts: Text-to-speech means a program reads written text aloud. This one speaks central Catalan, and it is meant to run quickly on modest hardware. Start by opening the Space's page and trying a short sentence. Under the hood, the Space is a Docker app that serves on port 7860 and runs on cpu-basic hardware at Hugging Face. The file names suggest one ONNX model with 10 steps and a multiaccent one with 20 steps, each with its own speaker list. The record also names a 22 kHz vocoder model and two Catalan speech datasets. ```flow You enter Catalan text The app loads an ONNX speech model The model synthesizes speech You play the audio ``` Good to know: The source says little beyond the one-line description, so check the page itself for voices and limits. - License: gpl-3. - Cost to run: none named. - Data it reaches: the text you enter. The record names the model projecte-aina/alvocat-vocos-22khz and the datasets projecte-aina/festcat_trimmed_denoised and projecte-aina/openslr-slr69-ca-trimmed-denoised. - Not for: languages other than Catalan, since the description names Catalan only. ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: docker - License: gpl-3.0 ## Links - Space: https://huggingface.co/spaces/BSC-LT/matxa-tts-v2 - Files: https://huggingface.co/spaces/BSC-LT/matxa-tts-v2/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 [BSC-LT/matxa-tts-v2 on Hugging Face](https://huggingface.co/spaces/BSC-LT/matxa-tts-v2) ## 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 | | --- | --- | --- | --- | --- | | matxa-tts-v2 (this page) | 1 | docker | gpl-3.0 | 2026-07-16 | | [Zero GPU Spaces](https://mindket.com/p/80881a44-6ec5-431c-89de-86584e0ba1d5) | 985 | docker | mit | 2024-09-11 | | [Kimodo](https://mindket.com/p/e6fe5336-403a-4328-92dc-77d41137a8bc) | 340 | docker | apache-2.0 | 2026-03-16 | | [Harness Leaderboard](https://mindket.com/p/d0e92765-2a63-4ae5-9ba0-42dbfedd56a6) | 323 | docker | apache-2.0 | 2026-11-12 | | [Flowise](https://mindket.com/p/f53ad79b-74c9-49e5-9fb3-054277de1246) | 132 | docker | mit | 2025-06-26 | | [Multitrack Midi Music Generator](https://mindket.com/p/9bd48c41-e4a7-4576-be7e-da51b041b39f) | 130 | docker | mit | 2025-07-07 | 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: 2026-07-16 - First published: 2025-12-10 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open BSC-LT/matxa-tts-v2 on Hugging Face](https://huggingface.co/spaces/BSC-LT/matxa-tts-v2) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/a007ec55-7bad-4961-ad50-88a1253eddef) - [Its page on Mindket](https://mindket.com/p/a007ec55-7bad-4961-ad50-88a1253eddef)