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We just solved text-to-speech AI. This model can simulate perfect emotion, screaming and show genuine alarm. — clearly beats 11 labs and Sesame — it’s only 1.6B params — streams realtime on 1 GPU — made by a 1.5 person team in Korea!! It's called Dia by Nari Labs.

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Deedy

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709,864 görüntüleme • 1 yıl önce •via X (Twitter)

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Deedy1 yıl önce

The future is about to look really weird. Audio may have just crossed the uncanny valley (like parts of text and Ike have) into most-humans-wont-know-this-is-AI territory

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MightyBot1 yıl önce

🧠 Unified Search. Smarter Meetings. Effortless CRM. MightyBot is your AI agent platform for seamless workflows—record meetings, automate CRM updates, and find answers across apps in seconds. 🌟 Focus on what matters. We'll handle the grind.

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Yuchen Jin1 yıl önce

what is the 0.5 person in the 1.5 person team? 😂

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Deedy1 yıl önce

Part time research engineer!

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Mudit Juneja1 yıl önce

Who are we here? Are you tied to this project?

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We = humanity

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1.5 people?! Did the 0.5 person just handle the screaming?

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Rithik Chopra1 yıl önce

Damn that’s crazy!!!

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Albert Sebastian1 yıl önce

whats your take on hume ai?

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Cr33d1 yıl önce

Perfect emotion? Finally, my toaster can apologize for burning my toast! 😂

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🎧 Dia is a 1.6B parameter text to speech model created by Nari Labs. (Apache 2.0) 🔊 Jupyter Notebook 🥳 Thanks to Toby Kim ❤ Nari Labs ❤ 🌐page: 🧬code: 🍊jupyte:
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🎧 Dia is a 1.6B parameter text to speech model created by Nari Labs. (Apache 2.0) 🔊 Jupyter Notebook 🥳 Thanks to Toby Kim ❤ Nari Labs ❤ 🌐page: 🧬code: 🍊jupyte:

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HOLY CRAP, a new super tiny 1.6B param voice model just dropped that seems to.. outperform 11labs!? 😵‍💫 From Nari-labs, Dia is an Apache 2.0 voice model, that can generate laughs, sniffs and emotions, copy an existing voice and is effectively real time on larger GPUs:
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HOLY CRAP, a new super tiny 1.6B param voice model just dropped that seems to.. outperform 11labs!? 😵‍💫 From Nari-labs, Dia is an Apache 2.0 voice model, that can generate laughs, sniffs and emotions, copy an existing voice and is effectively real time on larger GPUs:

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