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Kyutai released their Streaming Text to Speech model, ~2B param model, ultra low latency (220ms), CC-BY-4.0 license 🔥 Trained on 2.5 Million Hours of audio, it can serve up to 32 users w/ less than 350ms latency on a SINGLE L40 🤯 Incredible release by kyutai folks, go check...

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Vaibhav (VB) Srivastav

47,375 subscribers

93,512 Aufrufe • vor 1 Jahr •via X (Twitter)

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6 Kommentare

Profilbild von Vaibhav (VB) Srivastav
Vaibhav (VB) Srivastavvor 1 Jahr

Check out their models here:

Profilbild von Aakash
Aakashvor 1 Jahr

"Trained on 2.5 Million Hours of audio, it can serve up to 32 users w/ less than 350ms latency on a SINGLE L40" can we get more of this benchmark

Profilbild von KD
KDvor 1 Jahr

These are some of the same guys who run a really amazing YT channel about CS btw:

Profilbild von ZAZO
ZAZOvor 1 Jahr

that’s the best thing happened in 2025 🔥🔥🔥🔥🔥🔥🔥🔥🔥

Profilbild von Bui Dinh Ngoc
Bui Dinh Ngocvor 1 Jahr

This is game-changing for accessibility tools. I've been waiting for low-latency TTS that doesn't break the bank or require proprietary licenses.

Profilbild von Carlos DP
Carlos DPvor 1 Jahr

SUCH a solid demo lol, S tier

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Kyutai TTS and Unmute are now open source! The text-to-speech is natural, customizable, and fast: it can serve 32 users with a 350ms latency on a single L40S. Try it out and get started on the project page:
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Kyutai TTS and Unmute are now open source! The text-to-speech is natural, customizable, and fast: it can serve 32 users with a 350ms latency on a single L40S. Try it out and get started on the project page:

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171,579 Aufrufe • vor 1 Jahr

The new open-source Text to Speech model: Fish Speech 1.4 is brilliant! Trained on a massive 700K hours of multilingual speech data in 8 languages - Instant voice cloning 🗣️ - Ultra-low latency ⚡ - Compact model (~1GB weights) 🏋️‍♂️
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The new open-source Text to Speech model: Fish Speech 1.4 is brilliant! Trained on a massive 700K hours of multilingual speech data in 8 languages - Instant voice cloning 🗣️ - Ultra-low latency ⚡ - Compact model (~1GB weights) 🏋️‍♂️

Rohan Paul

228,836 Aufrufe • vor 1 Jahr

The Moshi speech-to-speech model by kyutai, hosted on Modal, absolutely cranks! Near instantaneous voice chat AI, thanks to bidirectional streaming. Whole startups could be built on this stack.
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The Moshi speech-to-speech model by kyutai, hosted on Modal, absolutely cranks! Near instantaneous voice chat AI, thanks to bidirectional streaming. Whole startups could be built on this stack.

Erik Dunteman

55,400 Aufrufe • vor 1 Jahr

🚨 New model alert! Dialog by vibx — a leading text-to-speech model — now runs on GroqCloud™. That means natural-sounding speech with ultra-low latency, making real-time voice applications smoother and more responsive. Learn more & build fast — links in the comments!
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🚨 New model alert! Dialog by vibx — a leading text-to-speech model — now runs on GroqCloud™. That means natural-sounding speech with ultra-low latency, making real-time voice applications smoother and more responsive. Learn more & build fast — links in the comments!

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47,183 Aufrufe • vor 1 Jahr

Wow! New Speech to Speech model - Fish Agent v0.1 3B by Fish Audio 🔥 > Trained on 700K hours of multilingual audio > Continue-pretrained version of Qwen-2.5-3B-Instruct for 200B audio & text tokens > Zero-shot voice cloning > Text + audio input/ Audio output > Ultra-fast inference w/ 200ms TTFA > Models on the Hub & Finetuning code on its way! 🚀 What an amazing time to be alive 🤗
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Wow! New Speech to Speech model - Fish Agent v0.1 3B by Fish Audio 🔥 > Trained on 700K hours of multilingual audio > Continue-pretrained version of Qwen-2.5-3B-Instruct for 200B audio & text tokens > Zero-shot voice cloning > Text + audio input/ Audio output > Ultra-fast inference w/ 200ms TTFA > Models on the Hub & Finetuning code on its way! 🚀 What an amazing time to be alive 🤗

Vaibhav (VB) Srivastav

66,963 Aufrufe • vor 1 Jahr

NEW: Kokoro 82M - APACHE 2.0 licensed, Text to Speech model, trained on < 100 hours of audio 🔥
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NEW: Kokoro 82M - APACHE 2.0 licensed, Text to Speech model, trained on < 100 hours of audio 🔥

Vaibhav (VB) Srivastav

330,034 Aufrufe • vor 1 Jahr

"With the On-Demand model, users can choose their gas cost with the lowest latency possible for their transactions" - DoctorBlocks Listen to what DoctorBlocks says about functions and the importance of Switchboard's On-Demand model 👇
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"With the On-Demand model, users can choose their gas cost with the lowest latency possible for their transactions" - DoctorBlocks Listen to what DoctorBlocks says about functions and the importance of Switchboard's On-Demand model 👇

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40,678 Aufrufe • vor 2 Jahren

Introducing Dialog 1.0 - Ultra-emotional AI Text-To-Speech model Outperforms Elevenlabs on expressiveness and quality 3 to 1 <1% error rate Supports 30+ languages Best in class voice cloning Low latency: 303ms TTFA (Time to First Audio) Experience it for yourself on Read more below⬇️
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Introducing Dialog 1.0 - Ultra-emotional AI Text-To-Speech model Outperforms Elevenlabs on expressiveness and quality 3 to 1 <1% error rate Supports 30+ languages Best in class voice cloning Low latency: 303ms TTFA (Time to First Audio) Experience it for yourself on Read more below⬇️

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Kyutai Speech-To-Text is now open-source! It’s streaming, supports batched inference, and runs blazingly fast: perfect for interactive applications. Check out the details here:
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Kyutai Speech-To-Text is now open-source! It’s streaming, supports batched inference, and runs blazingly fast: perfect for interactive applications. Check out the details here:

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66,390 Aufrufe • vor 1 Jahr

Pretty Insane - SoTA Text to Speech model capable of English AND Hindi - 3B Llama backbone - Apache 2.0 licensed 🔥 > Sub 80 ms latency > Supports both English, Hindi including code-mix > Runs in a free google colab too 🤯 Best part: They're actively working on other languages like Tamil, Telugu, Bengali, etc > Available on Hugging Face hub, powered by Transformers 💥
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Pretty Insane - SoTA Text to Speech model capable of English AND Hindi - 3B Llama backbone - Apache 2.0 licensed 🔥 > Sub 80 ms latency > Supports both English, Hindi including code-mix > Runs in a free google colab too 🤯 Best part: They're actively working on other languages like Tamil, Telugu, Bengali, etc > Available on Hugging Face hub, powered by Transformers 💥

Vaibhav (VB) Srivastav

33,749 Aufrufe • vor 1 Jahr

End to End Speech models are on fire - LLAMA-OMNI 8B - Apache licensed! 🔥 > Speech Encoder - Whisper Large v3 > LLM backbone - Llama 3.1 8B Instruct > Speech Decoder - HuBERT (UnitY) > Simultaneously generate Speech + Text > Less than 250 ms latency > Trained in less than 3 days on 4x GPUs > Used 200K instruct pairs > Model checkpoints on the Hub 🤗 > Space incoming! GG! I'm here for this trend! 🐐
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Vaibhav (VB) Srivastav

47,921 Aufrufe • vor 1 Jahr

Here's our new, tiniest model: LFM2.5-230M! 🥳 We went even smaller to power ultra-low latency use cases like e-commerce and robotics. Here's a demo of LFM2.5-230M running on a Unitree G1, decomposing user prompts into a sequence of tool calls. Available today on Hugging Face!
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25,058 Aufrufe • vor 15 Tagen

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