Skip to page content
SAVRN
Search Plan a project

Open-weight model · Text to speech

vietnamese-piper-voices

by Quoc Man vnhellboy/vietnamese-piper-voices

vietnamese-piper-voices is an open-weight model for text to speech from Quoc Man, released under other. Its published files total 190.6 MB.

Three single-speaker Vietnamese narrator voices in Piper/VITS format (22,050 Hz, ~63 MB each), ready for sherpa-onnx: the.onnx files carry sherpa-onnx metadata and each folder ships a tokens.txt.

Parameters—
Context—
Weights190.5 MB
Licenseother
AccessOpen weights
Monthly Downloads—

Model Card

Three single-speaker Vietnamese narrator voices in Piper/VITS format (22,050 Hz, ~63 MB each), ready for sherpa-onnx: the.onnx files carry sherpa-onnx metadata and each folder ships a tokens.txt. Phonemization uses eSpeak NG (vi); espeak-ng-data is not included. None of the voices belongs to a real person: each was designed from a text description with VoxCPM2 Voice Design. 1. Training data. For each voice, roughly 5,000 Vietnamese sentences were synthesized with VoxCPM2 (Apache-2.0). About 30% of the sentences contain English names and terms, so the voices learn eSpeak's English phonemes. Every clip was transcribed back with Whisper, and clips with a high character error rate, an…

Excerpt from the card by Quoc Man, licensed other.

Identity and Version

Repository
vnhellboy/vietnamese-piper-voices
Publisher
Quoc Man
Task
Text to speech
Modality
Audio
Library
sherpa-onnx
Parameters
Not stated by the source
Languages
vi
Revision
df2a53e0b5c8039d17e642cc8d80fa03d59374b7
First published
2026-10-12
Last updated
2026-10-12

Files and Weights

11 files, 190.6 MB in total. The weights are 3 files totalling 190.5 MB in onnx.

Weights3 files · 190.5 MB
Configuration3 files · 15.1 KB
Documentation1 file · 2.5 KB
Other3 files · 2.9 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
vits-piper-vi_VN-altotram-medium/vi_VN-altotram-medium.onnxWeights63.5 MB 2832e9e64e42
vits-piper-vi_VN-diemdam-medium/vi_VN-diemdam-medium.onnxWeights63.5 MB 821096ee1f6d
vits-piper-vi_VN-tramvang-medium/vi_VN-tramvang-medium.onnxWeights63.5 MB 5e07e420b3f4
vits-piper-vi_VN-altotram-medium/vi_VN-altotram-medium.onnx.jsonConfiguration5.0 KB —
vits-piper-vi_VN-diemdam-medium/vi_VN-diemdam-medium.onnx.jsonConfiguration5.0 KB —
vits-piper-vi_VN-tramvang-medium/vi_VN-tramvang-medium.onnx.jsonConfiguration5.0 KB —
README.mdDocumentation2.5 KB —
vits-piper-vi_VN-altotram-medium/tokens.txtOther968 B —
vits-piper-vi_VN-diemdam-medium/tokens.txtOther968 B —
vits-piper-vi_VN-tramvang-medium/tokens.txtOther968 B —
.gitattributesRepository1.5 KB —

License and Download

License
other
Access
Open weights, no gate
Download size
190.5 MB
Download from Quoc Man

Released by Quoc Man through its official repository on Hugging Face.

Memory Requirements

PrecisionWeights in memory
As published190.5 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About vietnamese-piper-voices

What license is vietnamese-piper-voices released under?

other, as its publisher declares it. Read the license text before commercial use.

Similar Models

Model · Text to speech

Kokoro-82M

Hexgrad

Kokoro is an open-weight TTS model with 82 million parameters. Despite its lightweight architecture, it delivers comparable quality to larger models while being significantly faster and more cost-efficient. With Apache-licensed weights, Kokoro can be deployed anywhere from production environments to personal projects. You can run this basic cell on Google Colab. Listen to samples. For more languages and details, see Advanced Usage. Under the hood, kokoro uses misaki, a G2P library at https://github.com/hexgrad/misaki Model SHA256 Hash: 496dba118d1a58f5f3db2efc88dbdc216e0483fc89fe6e47ee1f2c53f18ad1e4 Data: Kokoro was trained exclusively on permissive/non-copyrighted audio data and IPA…

Open weights apache-2.0

Model · Text to speech

audio.cpp-gguf

Audio.cpp

This directory contains audio.cpp-native GGUF conversions of multiple speech models. These files are intended for use with audio.cpp. If you enjoy the project, please star audio.cpp on GitHub and this Hugging Face repository. For conversion details, supported layouts, direct-file loading, sidecar embedding, and the latest compatibility notes, see the audio.cpp GGUF guide: - https://github.com/0xShug0/audio.cpp/blob/main/docs/gguf.md!!! Converted and quantized packages are checked with automated metrics, but perceived quality can still differ for human listeners. Please validate the exact package, backend, and route to confirm the output is acceptable for your use case. The table lists the…

Open weights other audio.cpp

Model · Text to speech

XTTS-v2

Coqui.ai

ⓍTTS is a Voice generation model that lets you clone voices into different languages by using just a quick 6-second audio clip. There is no need for an excessive amount of training data that spans countless hours. This is the same or similar model to what powers Coqui Studio and Coqui API. - Supports 17 languages. - Voice cloning with just a 6-second audio clip. - Emotion and style transfer by cloning. - Cross-language voice cloning. - Multi-lingual speech generation. - 24khz sampling rate. - 2 new languages; Hungarian and Korean - Architectural improvements for speaker conditioning. - Enables the use of multiple speaker references and interpolation between speakers. - Stability…

Open weights other coqui

Model · Text to speech

chatterbox

Resemble AI

Chatterbox Multilingual V3 is the latest general-purpose multilingual TTS model in the Chatterbox family. It keeps the same 0.5B model size while improving speaker similarity, reducing hallucinations, and producing more natural, conversational speech across languages. V3 is designed for broad language coverage like V2, but with stronger stability and more expressive generation. It is the recommended multilingual model for users who want one voice cloning model that works across many languages. Try it in the Chatterbox Multilingual TTS V3 Space. Alongside V3, we are releasing the Single Language Pack: dedicated finetunes for priority languages where tighter quality control, stronger…

Open weights mit chatterbox

Model · Text to speech

F5-TTS

Yushen CHEN

Download F5-TTS or E2 TTS and place under ckpts/ Paper: F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching

Open weights cc-by-nc-4.0 f5-tts

Model · Text to speech

Kokoro-82M-v1.0-ONNX

ONNX Community

Kokoro is a frontier TTS model for its size of 82 million parameters (text in/audio out). First, install the kokoro-js library from NPM using: You can then generate speech as follows: Optionally, save the audio to a file: The model is resilient to quantization, enabling efficient high-quality speech synthesis at a fraction of the original model size.

Open weights apache-2.0 transformers.js