With the help of rhyming language, DALL-E attempts to create visuals. VALL-E AI changes into a voice. Now VALL-E can convert text into voice.
DALL-E, which seeks to convert words to visuals, rhythmically changes VALL-E into speech. Microsoft created VALL-E, which can take a three-second voice recording and turn the written words into speech. It gives out the result with accurate tone and emotion based on the context of the text.
It can give a speech in a “zero-shot environment,” meaning without any prior instances or instruction in any particular context or situation. While after being trained with 60,000 hours of English voice recordings.
VALL-E in a Cornell University article, more than 7,000 distinct speakers are included in the recording data, the developers said. The team claims that its text-to-speech system’s (TTS) utilization of data—hundreds of times more than other TTS systems’—aided them in overcoming the zero-shot issue.
The tool is not currently accessible to the prevalent people. However, considering that it has the potential to be used to produce any text that originates from someone’s voice raises concerns regarding security. Microsoft has made significant investments in AI, and it is one of the sponsors of OpenAI, the firm behind ChatGPT and DALL-E, a text-to-image or art tool.
According to a report published this week on semafor.com, the software giant is considering investing an additional $10 billion (€9.3 billion) in OpenAI. The software giant made a $1 billion (€930 million) investment in the startup in 2019.
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A new iteration of DALL-E is a generative language model. That generates corresponding, unique visuals from sentences which is called DALL-E 2. DALL-E 2 is huge, but not by as much as GPT-3, with 3.5B parameters. It’s interesting that it has smaller dimensions than its predecessor. Which used 12B specifications. Despite its size, DALL-E 2 produces images with a resolution that is four times higher than DALL-E. In caption matching and photorealism, human judges choose DALL-E 2 over DALL-E 70% of the time.
