剧本驱动多模协同数字人技术
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高拟真数字人直播带货有多强
Ke Ji Ri Bao· 2025-11-09 23:41
Core Viewpoint - The article discusses the advancements in digital human technology developed by Baidu, particularly in the context of e-commerce live streaming, highlighting its potential to enhance user engagement and reduce operational costs [1][2][3]. Group 1: Digital Human Technology - Baidu has created digital human hosts using script-driven multimodal collaborative technology, which won the Leading Technology Award at the 2025 World Internet Conference [1]. - This technology allows businesses to conduct live streaming without significant investments in manpower and resources, thus reducing costs related to venue rental, equipment purchase, and personnel training [1]. - Digital humans can stream 24/7, increasing product exposure and sales opportunities, thereby enhancing economic benefits [1]. Group 2: Script and Interaction - The foundation of the digital human's performance is the script, which must align with the host's persona and language style, ensuring personalized and consistent expression [2]. - The script includes "visual tags" and "voice tags" to guide the digital human's actions during the live stream [2]. - Naturalness in voice synthesis is crucial for user immersion, with Baidu's "text-controlled voice synthesis" model designed to produce emotionally resonant speech [2]. Group 3: Advanced Interaction Capabilities - The high-consistency ultra-realistic digital human long video generation technology analyzes various multimodal signals to create expressive segments and complex interactions [3]. - This technology ensures synchronization of voice, lip movements, expressions, and actions over extended periods [3]. - The commercialization of digital humans is accelerating, with expectations for their increased presence in daily life [3]. Group 4: Regulatory Considerations - Experts emphasize the need for clear boundaries to prevent fraud or false advertising using high-fidelity technology [4]. - The draft regulations require that AI-generated images and videos used in live marketing must be clearly labeled to distinguish them from real individuals [3][4].