“What can machines do that humans can’t do at all?” Using the techniques that underpin A.I. art generators like DALL-E, scientists are generating blueprints for new proteins — tiny biological mechanisms that can change the way of our bodies behave:
MULTIMODAL AI
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Dexterous Manipulation in Real Life Applications
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dexterous manipulation in real life 👀 https://t.co/zOvBfvoeLi
— Yutaro Yamada (@_yutaroyamada) 8 janvier 2023dexterous manipulation in real life
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2022 Visual Text States of the Art from LAION and SavvyRL
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Couple more 2022 visual text States of the Art from @laion_ai and @savvyRL et al (which was even more slept on!!)
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Text-to-Image Visual Text Rendering Problems Solved Early 2023
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I am still not over how we are 1 (ONE) week into 2023 and the big Text-to-Image visual text rendering problems of last year appears to be completely solved… (with a new architectural approach to boot! Rumors that hands might be solved too) Diffusion models are so 2022?
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Community-Powered Text-to-Image Generation Platform Upgrade
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Want to step up your text-to-image generation game by tapping on to tens of thousands of community generated images? Stay tuned!
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Technical mechanism of AI-driven voice synthesis
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It generates a series of codes based on the phonemes and an audio recording of the speaker's voice.
— AI Breakfast (@AiBreakfast) 7 janvier 2023
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/HQvjJUnbiHIt 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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Technical architecture of the VALL-E generative audio model
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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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Technical overview of an AI voice synthesis training model
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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 2023The 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.
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VALL-E: New Language Modeling Approach for Text-to-Speech
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Digitally clone your own voice in 3 seconds: VALL-E
— AI Breakfast (@AiBreakfast) 7 janvier 2023
Inside the new language modeling approach for text-to-speech synthesis: pic.twitter.com/slaX1P3sqzDigitally clone your own voice in 3 seconds: VALL-E Inside the new language modeling approach for text-to-speech synthesis:
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VALL-E: A new approach to natural-sounding AI speech synthesis
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VALL-E is significantly better at synthesizing natural-sounding speech and accurately reproducing the characteristics of a speaker compared to anything else available. VALL-E takes a different approach than previous systems for synthesizing speech: