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Turns written text into speech in nine languages and many Chinese dialects, with zero-shot voice cloning, in a Gradio demo for anyone testing speech synthesis.
Fun-CosyVoice3-0.5B 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 FunAudioLLM/Fun-CosyVoice3-0.5B --repo-type space --local-dir Fun-CosyVoice3-0.5B cd Fun-CosyVoice3-0.5B
Fun-CosyVoice3-0.5B is a text-to-speech system built on large language models, from the FunAudioLLM team. This Space is a Gradio demo of it that runs on GPU hardware at Hugging Face. It is meant for speech synthesis across languages, and it can imitate a voice from a short sample without extra training.
People who need natural synthetic speech in several languages, and people who want to hear how a recent open speech model sounds.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Media | Video and audio producers | Add narration in different languages | Read a script aloud in Spanish |
| Software | Developers of voice apps | Test a speech model before adding it to a product | Listen to streaming output for latency |
| Education | Language teachers | Hear a text read in a given language or dialect | Play a Sichuan dialect version of a sentence |
| Research | Speech researchers | Compare synthesis quality and pronunciation control | Try Pinyin or phoneme hints on a hard word |
People who only need a plain screen reader can skip it, since this is a model demo.
| Use case | Who | What they get back |
|---|---|---|
| Read text aloud | Producers and teachers | Speech in one of nine languages or a Chinese dialect |
| Clone a voice from a sample | Developers | Speech that sounds like the supplied voice |
| Control delivery | Researchers | Speech shaped by emotion, speed or volume instructions |
pip install -U huggingface_hub hf download FunAudioLLM/Fun-CosyVoice3-0.5B --repo-type space --local-dir Fun-CosyVoice3-0.5B cd Fun-CosyVoice3-0.5B pip install gradio==6.1.0 pip install -r requirements.txt python app.py
Online, visit the Space on Hugging Face, enter the text to speak and add a voice sample if the page asks for one. On your own computer, run the start command and open the local page Gradio serves.
python app.py
| Tool | What it does |
|---|---|
| app.py | Starts the Gradio interface |
| requirements.txt | Lists the Python packages to install |
| zero_shot_prompt.wav | A sample voice file kept in the repository |
| cosyvoice | The model code folder |
You type a sentence in English and supply a short voice sample. The demo reads the sentence aloud, aiming to sound like the sample voice.
If you are new, try a short sentence in a language you know and listen to the result. Zero-shot means the voice is copied from a sample without training a new model on it.
If you know the field, the README lists 9 languages and more than 18 Chinese dialects and accents. It also lists pronunciation inpainting with Chinese Pinyin and English CMU phonemes, text normalization without a classic frontend, and bi-streaming with latency as low as 150ms. Instructions can set language, dialect, emotion, speed and volume.
Turns written text into speech in nine languages and many Chinese dialects, with zero-shot voice cloning, in a Gradio demo for anyone testing speech synthesis.
Made by FunAudioLLM 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: Fun-CosyVoice3-0.5B is a text-to-speech system built on large language models, from the FunAudioLLM team. This Space is a Gradio demo of it that runs on GPU hardware at Hugging Face. It is meant for speech synthesis across languages, and it can imitate a voice from a short sample without extra training.
Who it suits: People who need natural synthetic speech in several languages, and people who want to hear how a recent open speech model sounds.
Industry | Who uses it | How they use it | Example
Media | Video and audio producers | Add narration in different languages | Read a script aloud in Spanish
Software | Developers of voice apps | Test a speech model before adding it to a product | Listen to streaming output for latency
Education | Language teachers | Hear a text read in a given language or dialect | Play a Sichuan dialect version of a sentence
Research | Speech researchers | Compare synthesis quality and pronunciation control | Try Pinyin or phoneme hints on a hard word
People who only need a plain screen reader can skip it, since this is a model demo.
Where to use it:
Use case | Who | What they get back
Read text aloud | Producers and teachers | Speech in one of nine languages or a Chinese dialect
Clone a voice from a sample | Developers | Speech that sounds like the supplied voice
Control delivery | Researchers | Speech shaped by emotion, speed or volume instructions
How to set it up:
pip install -U huggingface_hub
hf download FunAudioLLM/Fun-CosyVoice3-0.5B --repo-type space --local-dir Fun-CosyVoice3-0.5B
cd Fun-CosyVoice3-0.5B
pip install gradio==6.1.0
pip install -r requirements.txt
python app.py
How to use it: Online, visit the Space on Hugging Face, enter the text to speak and add a voice sample if the page asks for one. On your own computer, run the start command and open the local page Gradio serves.
python app.py
Tool | What it does
app.py | Starts the Gradio interface
requirements.txt | Lists the Python packages to install
zero_shot_prompt.wav | A sample voice file kept in the repository
cosyvoice | The model code folder
Example: You type a sentence in English and supply a short voice sample. The demo reads the sentence aloud, aiming to sound like the sample voice.
For newcomers and experts: If you are new, try a short sentence in a language you know and listen to the result. Zero-shot means the voice is copied from a sample without training a new model on it.
If you know the field, the README lists 9 languages and more than 18 Chinese dialects and accents. It also lists pronunciation inpainting with Chinese Pinyin and English CMU phonemes, text normalization without a classic frontend, and bi-streaming with latency as low as 150ms. Instructions can set language, dialect, emotion, speed and volume.
You enter text and a voice sample
The language model plans the speech
The speech model renders the audio
You play the result in the browser
Good to know:
Title: Character error rate on the Chinese test set, lower is better
MiniMax-Speech: 0.83%
Fun-CosyVoice3-0.5B-2512_RL: 0.81%
Fun-CosyVoice3-0.5B-2512: 1.21%
Seed-TTS: 1.12%
CosyVoice2: 1.45%
F5-TTS: 1.53%
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 5 KB
Listed Hugging Face Spaces in the same category that share the most tags with this one.
| Product | Likes | Built with | License | Last change |
|---|---|---|---|---|
| Fun-CosyVoice3-0.5B This page | 87 | gradio | apache-2.0 | |
| MusicGenShares gradio | 5,116 | gradio | cc-by-nc-4.0 | |
| Kokoro TTSShares gradio | 3,556 | gradio | apache-2.0 | |
| Background RemovalShares gradio | 2,988 | gradio | mit | |
| Omni Image EditorShares gradio | 2,922 | gradio | mit | |
| Diffusers Image OutpaintShares gradio | 2,565 | gradio | apache-2.0 |
Posts and comments that name this project on Hacker News, Bluesky, X, Reddit, Facebook and YouTube, found by a weekly search and on Trendshift. Mindket doesn’t write or check them. Open one to read it where it was posted.
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