OpenAI has come up with an innovative Artificial Intelligence (AI) tool that can recreate human voice.
What Can The Voice Engine Do?
Voice Engine, as the AI tool is called, is capable of recreating a person’s voice by using text input and a single 15-second recording sample. Armed with this data, the AI tool generates natural-sounding speech that resembles that of the original speaker (the audio sample).
In the meantime, the new Large Language Model (LLM) application has been made available to only a small group of testers who are expected to provide feedback on the potential danger of utilizing it.
From the few test runs that has been conducted, it was discovered that it is somewhat difficult to tell the generated sound apart from the original. It is worth noting that this new AI tool is not limited to one spoken language.
The text that is fed to the system does not have to be in English as it can recreate voices in Spanish, French, Chinese and other languages.
Voice Engine is another OpenAI’s blockbuster solution in the AI industry.
OpenAI has earlier introduced DALL-E on ChatGPT, a tool that can generate digital images just by receiving descriptions in the form of text. More recently, the AI company launched Sora, a revolutionary content creation model that transforms text into videos. The Voice Engine is the latest in the suite of AI tools that the Sam Altman-led firm has released in a short while.
The Mega OpenAI Data Center Alliance With Microsoft
In lieu of its commitment towards advancing AI technology, OpenAI in collaboration with Microsoft is working to launch a data center project. This project is likely to cost as much as $100 billion and include an AI supercomputer dubbed “Stargate”.
According to their plan, the supercomputer will be launched in 2028. Markedly, the project is in five phases and Stargate is the last of it.
Meanwhile, Microsoft is already working on a smaller, fourth-phase supercomputer for OpenAI and this would be debuted sometimes around 2026.
This future endeavor is a demonstration of the rapid adoption and utilization of generative AI technology. Consequently, this has triggered a demand for AI data centers that are capable of handling more advanced tasks than their traditional alternatives.
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