Real-Time AI Voice Assistant: Build in 15 Minutes Using VideoSDK

15 days 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 …

Revolutionizing Voice AI: The Breakthroughs in Speech Language Models (SpeechLMs) That Are Redefining Human-Like Interaction

1 months ago 高效码农

Recent Advances in Speech Language Models: A Comprehensive Technical Survey The Evolution of Voice AI 🎉 Cutting-Edge Research Alert: Our comprehensive survey paper “Recent Advances in Speech Language Models” has been accepted for publication at ACL 2025, the premier natural language processing conference. This work systematically examines Speech Language Models (SpeechLMs) – transformative AI systems enabling end-to-end voice conversations with human-like fluidity. [Full Paper] Why SpeechLMs Matter Traditional voice assistants follow a fragmented ASR (Speech Recognition) → LLM (Language Processing) → TTS (Speech Synthesis) pipeline with inherent limitations: Information Loss: Conversion to text strips vocal emotions and intonations Error Propagation: …

LiveKit Agents 1.0: How to Build Real-Time Voice AI Systems with Open-Source Framework

1 months ago 高效码农

Deep Dive into LiveKit Agents: Building Real-Time Voice AI Agents with Open-Source Framework LiveKit Agents Architecture Core Value Proposition and Positioning LiveKit Agents represents a groundbreaking open-source platform designed specifically for building voice-enabled AI agents capable of real-time perception, comprehension, and interaction. This comprehensive framework empowers developers to create server-side intelligent applications with genuine “see, hear, speak” capabilities, offering robust support for real-time voice interaction scenarios. The recent 1.0 release marks a significant milestone in technical maturity, demonstrating substantial improvements in architectural design and functional completeness compared to earlier versions. Its core advantage lies in complete open-source accessibility, enabling developers …