In a noteworthy progress in the field of artificial intelligence, Amazon’s research team has skilled the largest ever text-to-speech model, known as BASE TTS. This model exhibits “emergent” qualities, which means it can improve its speech synthesis to sound more natural, even when dealing with complex sentences.
Amazon BASE TTS emergent abilities could be a game-changer for text-to-speech technology, hypothetically helping it to overcome the uncanny valley – a phenomenon where human-like artificial speech or behavior can feel eerie or upsetting.
The BASE TTS model was trained using 100,000 hours of public domain speech, with English making up 90% of the data. With 980 million factors, BASE-large is currently the largest model of this type.
The research team also trained smaller models for evaluation. Remarkably, it was the medium-sized model that confirmed the significant leap of incompetence that the team was hoping for. These developing abilities were observed and measured using a variety of complex text examples.
This development represents a significant step forward in the field of AI and could have far-reaching consequences for applications that rely on text-to-speech technology, such as virtual assistants, audiobooks, and accessibility tools. As AI continues to evolve, we can expect to see even more advancements in this exciting field.
The advancements in Amazon’s BASE TTS model mark a significant breakthrough in the evolution of text-to-speech technology. The emergent abilities of this AI model, which allow it to improve its natural speech synthesis, could revolutionize various applications, from virtual assistants to audiobooks and accessibility tools. As we continue to push the limitations of AI, we can look forward to more such innovations that bring us closer to smooth human-machine communication. This is not just a win for Amazon, but a leap forward for the entire field of artificial intelligence. The future of AI looks hopeful indeed.
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