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navoiy-tts
aisha-org/navoiy-tts
navoiy-tts is a text-to-speech model from aisha-org. Use it when you need text read aloud. The card lists the license as apache-2.0.
Lison Navoiy TTS is Aisha's public Uzbek expressive text-to-speech model artifact built on CosyVoice2.
Access
Public
Updated Nov 4, 2026
Repo size
2 GB
Likes
11
Public
Repo makeup
Click a slice to open those files.
.pt2 GB · 100%
At a glance
- Task
- Text-to-Speech
- License
- apache-2.0
- Access
- Public
- Created
- Jul 16, 2026
- Updated
- Nov 4, 2026
- SHA
- 9445f41e
Base models
Model card
From the Hugging Face model README
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
Project guides
- Task
- Text-to-Speech
- License
- apache-2.0
- Languages
- uz
- Created
- Jul 16, 2026
- Updated
- Nov 4, 2026