RosettaSpeech: Groundbreaking Zero-Shot Speech Translation from Monolingual Data
Published:Nov 26, 2025 02:02
•1 min read
•ArXiv
Analysis
This research explores a novel approach to speech-to-speech translation leveraging monolingual data in a zero-shot manner. The ability to translate between languages without parallel data could significantly advance accessibility and cross-cultural communication.
Key Takeaways
- •RosettaSpeech enables speech translation without relying on parallel data.
- •The approach uses monolingual data for training, potentially overcoming data scarcity issues.
- •This work addresses a critical challenge in machine translation: the need for paired data.
Reference
“RosettaSpeech performs zero-shot speech-to-speech translation.”