OpenVoiceOS/phoonnx-pocket-tts

Pocket TTS — ONNX mirror for phoonnx

ONNX weights for Kyutai Pocket TTS, packaged for the phoonnx pockettts engine.

Pocket TTS is a 100-million-parameter text-to-speech model. It runs faster than real time on two CPU cores. This mirror holds one weight bundle per language, in full precision and in 8-bit, together with the published speaker states.

Languages

Directory	Language	Transformer layers
english_2026-04	English	6
french_24l	French	24
german	German	6
italian	Italian	6
portuguese	Portuguese	6
spanish	Spanish	6

Contents of a bundle

File	Purpose
bundle.json	Sample rate, latent size, chunk limit and the two state manifests
tokenizer.model	SentencePiece tokenizer, 4000 units
bos_before_voice.npy	Embedding prepended to a cloned voice
text_conditioner.onnx	Token ids to text embeddings
flow_lm_main.onnx	Autoregressive transformer with explicit state
flow_lm_flow.onnx	Flow network for one latent frame
mimi_decoder.onnx	Latent frames to 24 kHz audio
mimi_encoder.onnx	Reference audio to latent frames, for voice cloning
voices/<name>.safetensors	Published speaker states, 26 per language

Every graph except the encoders also ships as *_int8.onnx.

Graph interfaces

text_conditioner : token_ids                          -> embeddings
flow_lm_main     : sequence, text_embeddings, state_* -> conditioning, eos_logit, out_state_*
flow_lm_flow     : c, s, t, x                         -> flow_dir
mimi_decoder     : latent, state_*                    -> audio_frame, out_state_*
mimi_encoder     : audio                              -> latents

Audio is 24 kHz mono. The model produces 12.5 latent frames per second, and each frame decodes to 1920 samples. The state_* tensors are described by the state manifests in bundle.json: each entry gives the tensor name, shape, dtype and how to fill it at the start of a stream.

A voice is a state, not an embedding vector: it is the transformer state after the model has consumed a speaker's audio. The manifests map a voices/*.safetensors file onto the state tensors of flow_lm_main.

Usage

from phoonnx.model_manager import TTSModelManager

manager = TTSModelManager()
voice = manager.download_voice_by_id("pockettts/en/alba").load()
audio = voice.synthesize_wav("Hello world.")

Attribution

The model is the work of Kyutai, released as kyutai/pocket-tts. The ONNX graphs were exported by the community and are mirrored from KevinAHM/pocket-tts-onnx. The speaker states come from kyutai/pocket-tts-without-voice-cloning.

This repository adds no new weights. It exists so that phoonnx can fetch a stable set of files from one place.

License

The weights keep their upstream license, Creative Commons Attribution 4.0 International (CC BY 4.0). The full text is in LICENSE. Give credit to Kyutai when you use them.

Kyutai asks that the model is not used for voice impersonation without consent, for deception, or for unlawful or abusive content.