SAVRN
Search Contact SAVRN

Open-weight model · Text to speech

kitten-tts-g2p

by David Larrea davidalarrea/kitten-tts-g2p

English grapheme-to-phoneme resources for KittenTTS and Kokoro TTS. Downloaded automatically by mlx-audio-swift when using KittenTTS or Kokoro TTS with English voices. Ported from Misaki G2P engine (MIT license).

Parameters
Context
Weights3.0 MB
Licensemit
AccessOpen weights
Monthly Downloads

Model Card

By David Larrea, published under mit, revision 3a72925aedf0.

English grapheme-to-phoneme resources for KittenTTS and Kokoro TTS. Downloaded automatically by mlx-audio-swift when using KittenTTS or Kokoro TTS with English voices. Ported from Misaki G2P engine (MIT license).

Read David Larrea's full model card

KittenTTS G2P Resources

English grapheme-to-phoneme resources for KittenTTS and Kokoro TTS.

Files

File Description Size
us_gold.json Gold pronunciation dictionary 2.9 MB
us_silver.json Silver pronunciation dictionary 3.0 MB
us_bart.safetensors BART fallback G2P model weights 2.9 MB
us_bart_config.json BART model configuration 1.2 KB

Usage

Downloaded automatically by mlx-audio-swift when using KittenTTS or Kokoro TTS with English voices.

Source

Ported from Misaki G2P engine (MIT license).

Identity and Version

Repository
davidalarrea/kitten-tts-g2p
Publisher
David Larrea
Task
Text to speech
Modality
Audio
Library
Not stated by the source
Parameters
Not stated by the source
Languages
en
Revision
3a72925aedf0fb25920488e93c34c85d11ed011d
First published
2026-09-18
Last updated
2026-09-18

Files and Weights

6 files, 9.1 MB in total. The weights are 1 file totalling 3.0 MB in safetensors.

Weights1 file · 3.0 MB
Configuration3 files · 6.1 MB
Documentation1 file · 751 B
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
us_bart.safetensorsWeights3.0 MB dc4a02e62d4f
us_bart_config.jsonConfiguration1.3 KB
us_gold.jsonConfiguration3.0 MB
us_silver.jsonConfiguration3.1 MB
README.mdDocumentation751 B
.gitattributesRepository1.5 KB

License and Download

License
mit
Access
Open weights, no gate
Download size
3.0 MB
Download from David Larrea

Released by David Larrea through its official repository on Hugging Face. Read the license.

Memory Requirements

PrecisionWeights in memory
As published3.0 MB

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

Questions About kitten-tts-g2p

Can I use kitten-tts-g2p commercially?

Yes. kitten-tts-g2p is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.

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

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

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

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