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📢 Introducing GLM-4 Voice: Open-Source End-to-End Speech Language Model In this tutorial, learn how to set up and run GLM-4 Voice locally on your computer for real-time voice conversations with AI! GLM-4 Voice is a groundbreaking open-source model that enables natural speech-to-speech interaction. 🔑 Key Features: Integrated speech recognition, language understanding, and speech generation Supports both Chinese and English Emotion and tone adjustment capabilities Real-time interaction Applications in customer service, entertainment, and education 💻 Technical Requirements: GPU (Demo uses RTX A6000) Virtual CPU Git LFS 🛠️ Installation Steps Covered: Git clone with submodules Package installation with pip Backend setup Frontend configuration Complete system testing ⚡ Live Demo Showcasing: Voice-to-voice interaction Text generation Real-time response capabilities Expression and tone control Debug information viewing 🔗 Important Links: GitHub Repository: https://github.com/THUDM/GLM-4-Voice 📦 Installation Commands: All necessary commands provided in the video description below. ⚠️ Note: Requires GPU for optimal performance 🎯 Related Content: Check out our detailed tutorial on OpenAI real-time API and AI customer service: [Link] 👍 Like, Subscribe, and Click the Bell Icon to stay updated with the latest AI tutorials! #AI #MachineLearning #GLM4Voice #AITutorial #OpenSource #Speech #NLP #ArtificialIntelligence #Programming #TechTutorial Timestamp: 0:00 - Introduction 0:14 - Model Architecture Overview 0:55 - Key Features and Applications 1:20 - Model Availability on Hugging Face 1:43 - System Requirements & Setup Steps 2:24 - Backend and Frontend Installation 3:14 - Frontend Interface Demo 4:02 - Live Voice Interaction Demo 5:01 - Final Thoughts