Nova-3 Multilingual Model Update
🌍 Nova-3 Multilingual Improvements
We’ve released an updated Nova-3 multilingual model, delivering accuracy improvements across supported languages, with the largest gains in code-switching scenarios.
This update focuses on improving real-world multilingual speech recognition, especially for inputs that mix languages within a single utterance or conversation.
Key improvements include:
- Lower Word Error Rate (WER) across both batch and streaming inference for all languages supported by the multilingual model
- Significantly improved code-switching handling, reducing word drops when languages are mixed
These improvements help developers build more reliable, natural multilingual voice experiences without changing APIs or configuration.
Learn more about Nova-3 Multilingual on the Models and Language Overview page.
