A New Chapter for the Miransas Voice Team
Our voice program continues with Guliruhsar now leading recordings, with Malika set to join the team soon.
Follow our journey building real-time multilingual voice models, native Uzbek dataset engineering, and next-generation speech pipelines.
Our voice program continues with Guliruhsar now leading recordings, with Malika set to join the team soon.
Instead of treating Uzbek as a translation afterthought, Miransas is building language-specific data, phoneme coverage and evaluation around native speech.
English, Spanish, Chinese, Hindi, Arabic, Japanese, Korean, French, German, Portuguese, Turkish and Russian are now part of the broader comparison set.
We are comparing Miransas with GPT-Realtime, Gemini Live, Grok Voice and the Chatterbox baseline using transparent capability categories rather than invented leaderboard numbers.
From clean speech data and speaker embeddings to evaluation and inference, this is the direction behind our next voice models.
Direct comparison of foundational features without inflated benchmarks.
| Capability | Miransas | GPT-Realtime | Gemini Live | Grok Voice |
|---|---|---|---|---|
| Realtime audio | ||||
| Audio input / output | ||||
| Voice cloning | — | — | — | |
| Open-source baseline | — | — | — | |
| Custom language training | — | — | — | |
| Uzbek training track | — | — | — |
Most global voice models handle regional languages through generic translation layers. Miransas builds native phoneme coverage, local dialect accents, and custom dataset pipelines specifically optimized for Uzbek alongside 23+ global languages.