VALL-E: Microsoft’s new zero-shot text-to-speech model can duplicate everyone’s voice in three seconds
In Brief
With just a three-second sample of any voice, the transformer-based TTS model VALL-E can produce speech in every voice.
This is a significant advancement in the direction of more natural-sounding TTS systems.
Microsoft has, however, provided a few samples of the model in use, and it is evident that this represents a significant development in TTS technology.
Since the release of the first text-to-speech (TTS) model, researchers have been looking for ways to improve the way these systems generate speech. The latest model from Microsoft, VALL-E, is a significant step forward in this regard.
VALL-E is a transformer-based TTS model that can generate speech in any voice after only hearing a three-second sample of that voice. This is a significant improvement over previous models, which required a much longer training period in order to generate a new voice.
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Additionally, the intonation, charisma, and style of the voice are all kept intact in the generated speech. This is an important step forward in making TTS systems sound more natural.
This model is transformer-based and has a Dale-1 appearance. Not to be confused with the diffusion-based Dalle-2. The code is still lacking. And users have some skepticism that they will post it.
However, Microsoft has released a few examples of the model in action, and it is clear that this is a major advance in TTS technology.
Example #1:
Example #2:
Example #3:
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Damir is the team leader, product manager, and editor at Metaverse Post, covering topics such as AI/ML, AGI, LLMs, Metaverse, and Web3-related fields. His articles attract a massive audience of over a million users every month. He appears to be an expert with 10 years of experience in SEO and digital marketing. Damir has been mentioned in Mashable, Wired, Cointelegraph, The New Yorker, Inside.com, Entrepreneur, BeInCrypto, and other publications. He travels between the UAE, Turkey, Russia, and the CIS as a digital nomad. Damir earned a bachelor's degree in physics, which he believes has given him the critical thinking skills needed to be successful in the ever-changing landscape of the internet.
