---
language:
- uz
license: apache-2.0
base_model: FunAudioLLM/CosyVoice2-0.5B
pipeline_tag: text-to-speech
tags:
- lison
- cosyvoice2
- uzbek
- speech-synthesis
- expressive-tts
- voice-cloning
- text-to-speech
---
# Lison Navoiy TTS

Lison Navoiy TTS is Aisha's public Uzbek expressive text-to-speech model artifact built on CosyVoice2.

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`