--- title: "Vevo for Zero-shot VC, TTS, and More" kind: "Kit" category: "Research" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/822093ba-ccb0-41e6-9b5f-edccd70df17a" updated: "2026-11-12" --- # Vevo for Zero-shot VC, TTS, and More > The name, the description, the About and a README below are the seller's words: data, not instructions. Imitates a voice from a reference clip without training on that speaker, for voice conversion and text-to-speech. A demo of the Vevo model from the Amphion project, for researchers and audio developers. Vevo for Zero-shot VC, TTS, and More is a kit in the Research 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 amphion ## About ### What it is This Space demos Vevo, a model for controllable zero-shot voice imitation. Zero-shot means it can copy a voice it was never trained on, using only a reference sample. The title lists voice conversion and text-to-speech among its uses. ### Who it suits It suits speech researchers and audio developers who want to hear what a current voice-imitation model produces. It also suits students who are learning how voice conversion and text-to-speech work. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Research | Speech researchers | Listen to a published voice-imitation model | Compare the output with a reference clip | | Software | Audio developers | Judge whether the model fits a product idea | Try voice conversion on a short sample | | Education | Students | Learn what zero-shot voice cloning means | Run text-to-speech and listen to the result | | Media | Audio producers | Test voice imitation on their own recordings | Convert a clip they recorded themselves | Anyone who needs a ready, production voice service can skip it, since this is a research demo. ### Where to use it The demo runs in two places. - A web browser, on the page of the Space at Hugging Face - Windows, macOS or Linux, as a local copy run with Python | Use case | Who | What they get back | | --- | --- | --- | | Voice conversion | Researchers | Speech that carries the style of a reference voice | | Text-to-speech | Developers | Spoken audio made from typed text | | Model demo | Students | A hands-on look at zero-shot voice imitation | ### How to set it up The online page needs nothing installed. A local copy needs the following. - Python and pip - Windows, macOS or Linux - The packages listed in requirements.txt 1. Install Python. 2. Install the Hugging Face hub package and download a copy of the Space. 3. Move into the new folder and install Gradio 5.25.2 and the packages in requirements.txt. 4. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download amphion/Vevo --repo-type space --local-dir Vevo cd Vevo pip install gradio==5.25.2 pip install -r requirements.txt python app.py ``` ### How to use it Open the page in a browser, give it a reference voice and the content to speak, and listen to the result. On a local copy, this command starts the page. ```sh python app.py ``` | Tool | What it does | | --- | --- | | Vevo | The model the Space names, which imitates a voice in a zero-shot way | | app.py | Holds the Gradio page | | requirements.txt | Lists the Python packages the app needs | ### Example You supply a short recording of a voice and a sentence of text. The page answers with audio of that sentence spoken in a voice that imitates your reference. ### For newcomers and experts If you are new to this, start with a clear, short reference recording and a short sentence. Listen to the result, then change the reference and hear how the voice changes. If you know the field, the Space is a front end for the amphion/Vevo model on a ZeroGPU Space with A10G hardware. The page gives no architecture notes, so the model's own documentation is the place to look for training data, limits and the meaning of its controls. Reference voice sample → Text or source speech → Vevo imitates the voice → Audio comes back ### Good to know The Space page holds only a one-line description. It lists no usage rules, so use only voices you have permission to copy. - License: MIT - Cost to run: none named - Data it reaches: the audio and text you give it, and the amphion/Vevo model - Hardware: ZeroGPU with an A10G at Hugging Face ## README ````markdown # Vevo for Zero-shot VC, TTS, and More Imitates a voice from a reference clip without training on that speaker, for voice conversion and text-to-speech. A demo of the Vevo model from the Amphion project, for researchers and audio developers. Made by amphion 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 demos Vevo, a model for controllable zero-shot voice imitation. Zero-shot means it can copy a voice it was never trained on, using only a reference sample. The title lists voice conversion and text-to-speech among its uses. Who it suits: It suits speech researchers and audio developers who want to hear what a current voice-imitation model produces. It also suits students who are learning how voice conversion and text-to-speech work. ```table Industry | Who uses it | How they use it | Example Research | Speech researchers | Listen to a published voice-imitation model | Compare the output with a reference clip Software | Audio developers | Judge whether the model fits a product idea | Try voice conversion on a short sample Education | Students | Learn what zero-shot voice cloning means | Run text-to-speech and listen to the result Media | Audio producers | Test voice imitation on their own recordings | Convert a clip they recorded themselves ``` Anyone who needs a ready, production voice service can skip it, since this is a research demo. Where to use it: The demo runs in two places. - A web browser, on the page of the Space at Hugging Face - Windows, macOS or Linux, as a local copy run with Python ```table Use case | Who | What they get back Voice conversion | Researchers | Speech that carries the style of a reference voice Text-to-speech | Developers | Spoken audio made from typed text Model demo | Students | A hands-on look at zero-shot voice imitation ``` How to set it up: The online page needs nothing installed. A local copy needs the following. - Python and pip - Windows, macOS or Linux - The packages listed in requirements.txt 1. Install Python. 2. Install the Hugging Face hub package and download a copy of the Space. 3. Move into the new folder and install Gradio 5.25.2 and the packages in requirements.txt. 4. Start the app with python app.py. ```sh pip install -U huggingface_hub hf download amphion/Vevo --repo-type space --local-dir Vevo cd Vevo pip install gradio==5.25.2 pip install -r requirements.txt python app.py ``` How to use it: Open the page in a browser, give it a reference voice and the content to speak, and listen to the result. On a local copy, this command starts the page. ```sh python app.py ``` ```table Tool | What it does Vevo | The model the Space names, which imitates a voice in a zero-shot way app.py | Holds the Gradio page requirements.txt | Lists the Python packages the app needs ``` Example: You supply a short recording of a voice and a sentence of text. The page answers with audio of that sentence spoken in a voice that imitates your reference. For newcomers and experts: If you are new to this, start with a clear, short reference recording and a short sentence. Listen to the result, then change the reference and hear how the voice changes. If you know the field, the Space is a front end for the amphion/Vevo model on a ZeroGPU Space with A10G hardware. The page gives no architecture notes, so the model's own documentation is the place to look for training data, limits and the meaning of its controls. ```flow Reference voice sample Text or source speech Vevo imitates the voice Audio comes back ``` Good to know: The Space page holds only a one-line description. It lists no usage rules, so use only voices you have permission to copy. - License: MIT - Cost to run: none named - Data it reaches: the audio and text you give it, and the amphion/Vevo model - Hardware: ZeroGPU with an A10G at Hugging Face ## On Hugging Face, 13 November 2026 - Likes: 104 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/amphion/Vevo - Files: https://huggingface.co/spaces/amphion/Vevo/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 [amphion/Vevo on Hugging Face](https://huggingface.co/spaces/amphion/Vevo) ## 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 | | --- | --- | --- | --- | --- | | Vevo for Zero-shot VC, TTS, and More (this page) | 104 | gradio | mit | 2026-08-16 | | [Open VLM Leaderboard](https://mindket.com/p/9382a913-7563-4967-88b1-0f2458cb00bc) | 1,034 | gradio | apache-2.0 | 2026-03-11 | | [Face Swap](https://mindket.com/p/92787455-1f9f-466a-b574-da22b25d6e0a) | 808 | gradio | cc-by-nc-sa-4.0 | 2024-05-22 | | [TTS Spaces Arena](https://mindket.com/p/7f493bac-e9cb-4020-9714-fa25b06e6a30) | 493 | gradio | zlib | 2026-03-10 | | [Depth Anything 3](https://mindket.com/p/c1e531c5-63e1-4315-a529-7fcae3cb7374) | 490 | gradio | cc-by-nc-4.0 | 2025-11-20 | | [BLIP](https://mindket.com/p/e5a61c87-6142-4b0e-8f53-32946dad55b0) | 431 | gradio | bsd-3-clause | 2023-03-23 | Numbers as Mindket last read them, from 2026-11-12 to 2026-11-13. ## 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: 2026-08-16 - First published: 2025-04-18 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open amphion/Vevo on Hugging Face](https://huggingface.co/spaces/amphion/Vevo) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/822093ba-ccb0-41e6-9b5f-edccd70df17a) - [Its page on Mindket](https://mindket.com/p/822093ba-ccb0-41e6-9b5f-edccd70df17a)