Huashu Design
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Ready-made voices for the Piper text to speech system, for developers and makers who want their own software to read text aloud.
piper-voices is a kit in the Developer 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 rhasspy/piper-voices
Piper voices is a collection of voice files for Piper, a text to speech system. A voice is what lets Piper turn written text into spoken audio. This repository holds the voices, and the checkpoints for training your own voices sit in a separate repository called piper-checkpoints.
It suits people who want a speech voice that runs through Piper, such as developers adding spoken output to an app or makers giving a project a voice. The record lists language tags such as ar, ca, cs, cy, da, de, el and en.
| Industry | Who uses it | How they use it | Example |
|---|---|---|---|
| Software | App developers | Add spoken output to an app | Reading a status message aloud |
| Accessibility | Tool builders | Give written content a spoken form | Reading a document aloud |
| Education | Course makers | Turn lesson text into audio | Narrating a short lesson |
| Hobby projects | Makers | Give a home project a voice | A device that speaks its alerts |
Skip it if you do not plan to run Piper yourself.
| Use case | Who | What they get back |
|---|---|---|
| Spoken output in an app | Developers | Text read aloud in the voice they chose |
| Training a new voice | Voice builders | A pointer to the separate checkpoints repository |
You need a few things in place first.
pip install -U huggingface_hub hf download rhasspy/piper-voices
The download command fetches the voice files onto your computer. After that, you give Piper the voice you picked. The model card does not list Piper's own commands, so check Piper's documentation for running it.
hf download rhasspy/piper-voices
You run the download command and wait for it to finish. Your computer now holds the voice files from the repository. You pick one for your language and hand it to Piper, which then reads your text aloud in that voice.
A voice is a set of files that Piper loads in order to speak. Start small. Run the two setup commands and look at the folders that arrive, then choose one voice to try.
The repository is a place to get finished Piper voices, kept apart from the training checkpoints. If you want a new voice instead of an existing one, the training route starts from the piper-checkpoints repository. The record also shows 38 quantized and 5 fine-tuned versions made by other people.
Ready-made voices for the Piper text to speech system, for developers and makers who want their own software to read text aloud.
Made by rhasspy on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.
What it is: Piper voices is a collection of voice files for Piper, a text to speech system. A voice is what lets Piper turn written text into spoken audio. This repository holds the voices, and the checkpoints for training your own voices sit in a separate repository called piper-checkpoints.
Who it suits: It suits people who want a speech voice that runs through Piper, such as developers adding spoken output to an app or makers giving a project a voice. The record lists language tags such as ar, ca, cs, cy, da, de, el and en.
Industry | Who uses it | How they use it | Example
Software | App developers | Add spoken output to an app | Reading a status message aloud
Accessibility | Tool builders | Give written content a spoken form | Reading a document aloud
Education | Course makers | Turn lesson text into audio | Narrating a short lesson
Hobby projects | Makers | Give a home project a voice | A device that speaks its alerts
Skip it if you do not plan to run Piper yourself.
Where to use it:
Use case | Who | What they get back
Spoken output in an app | Developers | Text read aloud in the voice they chose
Training a new voice | Voice builders | A pointer to the separate checkpoints repository
How to set it up: You need a few things in place first.
pip install -U huggingface_hub
hf download rhasspy/piper-voices
How to use it: The download command fetches the voice files onto your computer. After that, you give Piper the voice you picked. The model card does not list Piper's own commands, so check Piper's documentation for running it.
hf download rhasspy/piper-voices
Example: You run the download command and wait for it to finish. Your computer now holds the voice files from the repository. You pick one for your language and hand it to Piper, which then reads your text aloud in that voice.
For newcomers and experts: A voice is a set of files that Piper loads in order to speak. Start small. Run the two setup commands and look at the folders that arrive, then choose one voice to try.
The repository is a place to get finished Piper voices, kept apart from the training checkpoints. If you want a new voice instead of an existing one, the training route starts from the piper-checkpoints repository. The record also shows 38 quantized and 5 fine-tuned versions made by other people.
Choose a voice in the repository
Download the files with hf
Load the voice in Piper
Piper reads your text aloud
Good to know:
Download its files with Hugging Face's command line:
pip install -U huggingface_hub
hf download rhasspy/piper-voices
Then follow the usage in its model card. Nothing in this kit runs by itself.
README.md 4 KB
Listed Hugging Face models in the same category that share the most tags with this one.
| Product | Downloads, last 30 days | Likes | Parameters | License | Last change |
|---|---|---|---|---|---|
| piper-voices This page | 0 | 877 | — | mit | |
| all-MiniLM-L6-v2Shares onnx | 174,740,184 | 6,104 | 22.7M | apache-2.0 | |
| bge-small-en-v1.5Shares onnx | 45,750,548 | 671 | 33.4M | mit | |
| GPT-2Shares onnx | 32,892,223 | 3,932 | 137M | mit | |
| BERT base model (uncased)Shares onnx | 31,346,528 | 3,071 | 110M | apache-2.0 | |
| bge-m3Shares onnx | 29,282,167 | 3,989 | — | mit |
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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