This repository contains the LLM/checkpoint component and demo assets. It is not a standalone one-file inference package; inference requires the upstream CosyVoice/CosyVoice2 runtime and compatible base model assets.

Model summary

Field	Value
Product family	Lison
Task	Uzbek text-to-speech
Base model	`FunAudioLLM/CosyVoice2-0.5B`
Language	Uzbek (`uz`)
License	Apache-2.0
Main checkpoint	`emotion_600h_joint.pt`
Repository visibility	public
Revision	`912e6bb6663f11e5dec5de830ca06ea8dd4c985f`

Intended use

Uzbek expressive TTS research and demos
Voice-agent speech generation experiments
CosyVoice2-based Lison model evaluation

Files

File	Size
`emotion_600h_joint.pt`	1.88 GiB
`demo/long_form.wav`	0.49 MiB
`demo/numbers_dates.wav`	0.42 MiB
`demo/happy.wav`	0.24 MiB
`demo/calm_intro.wav`	0.23 MiB
`demo/angry.wav`	0.23 MiB
`demo/sad.wav`	0.22 MiB
`demo/warm_agent.wav`	0.17 MiB
`demo/surprised.wav`	0.16 MiB
`LICENSE`	0.01 MiB

Demo assets

The demo/ folder contains generated Uzbek WAV examples and a demo manifest. Use these for quick qualitative checks, not as a replacement for systematic MOS or production latency evaluation.

Limitations

Requires CosyVoice/CosyVoice2 serving code and compatible dependencies.
Production quality depends on prompt/reference audio, normalization, serving latency, and post-processing.
Do not treat demo outputs as full benchmark coverage.

Related Lison datasets

Canonical non-emotion corpus: aisha-org/uzbek-tts-corpus-v1
Separate emotion dataset: aisha-org/uzbek-emotion-tts

aisha-org/navoiy-tts

Lison Navoiy TTS