What is VideoChat
VideoChat is an open-source real-time digital human dialogue system that supports voice input and real-time conversation. Users can customize the digital human's appearance and voice, and voice cloning can be done without training. First-packet latency can be as low as 3 seconds, making it suitable for various real-time voice interaction scenarios such as livestreaming, news broadcasting, and chat assistants. The system supports GLM-4-Voice and provides two generation methods: ASR-LLM-TTS-THG and MLLM-THG. VideoChat uses the Gradio framework to build interactive applications and supports streaming video output, making rapid deployment and development easy.
Main features of VideoChat
- Real-time voice interaction: Supports users in having real-time conversations with the digital human using voice.
- Customizable appearance and voice: Users can choose or design the digital human's appearance and voice as needed to achieve personalized interaction.
- Voice input and text output: Converts the user's voice input into text, then generates reply text based on a large language model.
- Lip synchronization: When the digital human speaks, lip movements are synchronized with the emitted sound, improving realism.
- Streaming video output: Based on the Gradio framework, it supports streaming video output, making interaction smoother.
Technical principles of VideoChat
- Automatic Speech Recognition (ASR): Uses tools such as FunASR to convert the user's voice input into text.
- Large Language Model (LLM): Generates corresponding reply text based on the input text using models such as Tongyi Qianwen.
- Text-to-Speech (TTS): Uses tools such as GPT-SoVITS to convert text replies into speech.
- Talking Head Generation (THG): Uses solutions such as MuseTalk to generate lip-synchronized digital human videos based on speech.
- Streaming output parallel pipeline: Based on parallel processing technology, it performs inference and playback simultaneously, improving response speed.
- Gradio framework: Uses Gradio 5 to implement streaming video output, making deployment and building interactive applications convenient.
VideoChat project address
- GitHub repository：https://github.com/Henry-23/VideoChat
- Online demo：https://www.modelscope.cn/studios/AI-ModelScope/video_chat
Application scenarios of VideoChat
- Customer service: As a virtual customer service agent, it provides 24/7 consultation services, answers user questions, and reduces enterprise labor costs.
- Online education: As a virtual teacher, it provides services such as language learning and course instruction, increasing the interactivity and fun of learning.
- News broadcasting: Used in the news industry to broadcast news in the form of a digital human, improving the efficiency and appeal of news broadcasting.
- Livestreaming industry: As a virtual streamer, it performs product introductions, livestream commerce, and more, increasing the interactivity of livestreams and the audience's viewing experience.
- Entertainment interaction: In entertainment fields such as games and virtual concerts, it provides richer interactive experiences.