Researchers from Google AI have developed a new AI model called Translatotron 3 that can translate spoken language from one language to another without requiring any parallel speech data. This can turn you into a real-time polyglot.
Speech-to-speech translation (S2ST) models have traditionally relied on large amounts of parallel speech data. However, this data is often scarce or unavailable for many languages. With Translatotron 3, this limitation is overcome by leveraging a novel unsupervised learning approach that utilizes monolingual data alone. This means that Translatotron 3 can provide high-quality translations even for languages with limited parallel speech data available.
There is a lot of technicality behind it, which you can read here.
When it comes to the use case, this technology has the potential to unlock a wide range of applications. For instance, it can facilitate real-time communication between people who speak different languages.
Additionally, the model can be used to create tools that assist people with speech impairments, making communication easier and more accessible. Moreover, Translatotron 3 can be leveraged to develop personalized language learning tools that are more engaging and effective. And these are just a few of many.
While Translatotron 3 might not be directly usable on your mobile phone just yet, the research behind it still holds significant promise for future applications. As the technology matures and becomes more accessible, we can expect to see it integrated into various devices and platforms, including mobile phones, earphones, and translation applications. This would ultimately allow for seamless cross-language communication across various scenarios.
Look away, Duo!