AI

It generates a series of codes based on the phonemes and an audio recording of the speaker's voice.

These codes are then turned directly into a waveform, which allows it to generate speech that sounds like the speaker from just a small amount of reference audio.

Example (🔊): pic.twitter.com/HQvjJUnbiH

— AI Breakfast (@AiBreakfast) 7 janvier 2023

It generates a series of codes based on the phonemes and an audio recording of the speaker's voice. These codes are then turned directly into a waveform, which allows it to generate speech that sounds like the speaker from just a small amount of reference audio. Example ():

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Instead of turning text into a series of specific sounds (called phonemes) and then into a visual representation of the sound called a mel-spectrogram, and then into a waveform (a digital representation of sound that can be played through a speaker) VALL-E takes a shortcut:

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Digitally clone your own voice in 3 seconds: VALL-E

Inside the new language modeling approach for text-to-speech synthesis: pic.twitter.com/slaX1P3sqz

— AI Breakfast (@AiBreakfast) 7 janvier 2023

Digitally clone your own voice in 3 seconds: VALL-E Inside the new language modeling approach for text-to-speech synthesis:

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The language model was trained on a huge amount of data (60,000 hours of English speech) and combines it with just 3 seconds of a person's voice and uses that to synthesize new, high-quality speech that sounds like the original speaker. pic.twitter.com/tIaimhfQ9R

— AI Breakfast (@AiBreakfast) 7 janvier 2023

The language model was trained on a huge amount of data (60,000 hours of English speech) and combines it with just 3 seconds of a person's voice and uses that to synthesize new, high-quality speech that sounds like the original speaker.

→ View original post on X — @aibreakfast