NVIDIA Nemotron Streaming Speech Recognition: How 600M Parameters Redefine Real-Time ASR Deployment
5 days ago 高效码农NVIDIA Nemotron Streaming Speech Recognition: From Model Principles to Practical Deployment—How 600M Parameters Are Redefining Real-Time ASR Imagine a cross-continental video conference where your voice assistant not only transcribes everyone’s speech into text in real time but also intelligently adds punctuation and capitalization, with almost imperceptible delay. Or, when you’re conversing with your car’s voice system, its responses feel so natural and fluid, as if speaking with a person. At the heart of this experience lies the core challenge: how to make machines “understand” a continuous stream of speech and instantly convert it into accurate text. Traditional Automatic Speech Recognition …
How Yume1.5’s Text-Driven Engine Turns Images Into Walkable Worlds
12 days ago 高效码农From a Single Image to an Infinite, Walkable World: Inside Yume1.5’s Text-Driven Interactive Video Engine What is the shortest path to turning one picture—or one sentence—into a living, explorable 3D world that runs on a single GPU? Yume1.5 compresses time, space, and channels together, distills 50 diffusion steps into 4, and lets you steer with everyday keyboard or text prompts. 1 The 30-Second Primer: How Yume1.5 Works and Why It Matters Summary: Yume1.5 is a 5-billion-parameter diffusion model that autoregressively generates minutes-long 720p video while you walk and look around. It keeps temporal consistency by jointly compressing historical frames along …
Live Avatar AI: How We Reached 20 FPS Real-Time Streaming with a 14B-Parameter Model
1 months ago 高效码农LiveAvatar under the hood: how a 14-billion-parameter diffusion model now runs live, lip-synced avatars at 20 FPS on five GPUs A plain-language walk-through of the paper, code and benchmarks—no hype, no hidden plugs. “We want an avatar that can talk forever, look like the reference photo, and run in real time.” —Authors’ opening line, arXiv:2512.04677 1. The problem in one sentence Big diffusion models give great faces, but they are slow (0.25 FPS) and drift out of look after a few hundred frames. LiveAvatar keeps the quality, removes the lag, and stops the drift—so you can stream an avatar for …
Inferix World Simulation: How The New Block-Diffusion Engine Enables Real-Time AI Video Worlds
1 months ago 高效码农Mind-Blowing: A Chinese Mega-Team Just Dropped Inferix — The Inference Engine That Turns “World Simulation” From Sci-Fi Into Reality You thought 2025 was already wild? Hold my coffee. On November 24, 2025, a joint force from Zhejiang University, HKUST, Alibaba DAMO Academy, and Alibaba TRE quietly released something that will be remembered as the real turning point of AI video: 「Inferix」. It’s not another video generation model. It’s the dedicated inference engine for the next era — the 「World Model era」. In plain English: 「Inferix lets normal GPUs run minute-long, physics-accurate, fully interactive, never-collapsing open-world videos — in real time.」 …
Real-Time AI Voice Assistant: Build in 15 Minutes Using VideoSDK
5 months ago 高效码农Build a Real-Time AI Voice Assistant in 15 Minutes VideoSDK AI Agents “ A beginner-friendly, open-source walkthrough based on VideoSDK AI Agents For junior-college graduates and curious makers worldwide 1. Why You Can Build a Voice Agent Today Until recently, creating an AI that listens, thinks, and speaks in real time required three separate teams: Speech specialists (speech-to-text, text-to-speech) AI researchers (large-language models) Real-time engineers (WebRTC, SIP telephony) VideoSDK wraps all three layers into a single Python package called videosdk-agents. With under 100 lines of code you can join a live meeting, phone call, or mobile app as an AI …