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Article summary:

1. Microsoft has developed a text-to-speech language model called VALL-E that can mimic a person's speech from just three seconds of sample audio.

2. The model was trained on 60,000 hours of audio containing 7,000 unique speakers using expensive graphics cards.

3. Microsoft is not releasing VALL-E to the public yet due to concerns about potential misuse, but it could have practical applications in creating audio data for speech recognition systems and even fully AI-based content creation systems.

Article analysis:

The article discusses Microsoft's newly developed text-to-speech language model, VALL-E, which can mimic a person's speech from as little as three seconds of sample audio. The article highlights the impressive ability of the model to copy not just a speaker's voice but also their emotional intonations and acoustic properties. However, the article notes that Microsoft is keeping its tech under wraps for now to prevent misuse.

The article provides some insights into potential applications of this technology, such as creating audio data for speech recognition systems like Siri and Alexa. It also suggests that fully AI-based content creation systems could be developed in the future, combining text generation models like GPT-3 with speech synthesis models like VALL-E.

However, the article does not explore potential risks associated with this technology in-depth. It briefly mentions that VALL-E could be misused for spoofing voice identification or impersonating a specific speaker but does not provide any further details on how these risks could be mitigated.

Moreover, the article seems to promote the use of AI-generated content without considering its potential impact on creative industries and artists. It mentions how digital artist Ben Moran was banned from submitting AI-generated art on a popular subreddit but does not delve into the broader implications of AI-generated content on art and creativity.

Overall, while the article provides some interesting insights into Microsoft's new text-to-speech language model, it falls short in exploring potential risks associated with its use and promoting AI-generated content without considering its impact on creative industries and artists.