Artificial Creator Voice Modeling for Continuous Media Programs
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Solution Overview
Problem
Human creators in media programs may require breaks or be unavailable, leading to program discontinuity, and compatible co-creators are often unavailable, limiting program success and diversity.
Innovation Solution
Artificial creators are programmed to generate and select media content, mimicking human creators' voices, linguistic styles, and content preferences, enabling continuous program production and co-creation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human creators are used to generate media content, then unique linguistic styles and prosodies are achieved, but program discontinuity occurs when creators require breaks or become unavailable
Solution Approach 1:
The patent applies copying by creating synthetic voices that replicate human creators' linguistic styles, prosodies, and content preferences. The system generates media content using artificial intelligence models trained on human creator data, allowing the program to continue seamlessly when human creators are unavailable while maintaining their distinctive voice and style.
Solution Approach 2:
The system introduces an intermediary layer between human creators and media production. This intermediary consists of AI models that capture creator characteristics and generate content autonomously when needed, acting as a bridge that maintains program continuity without requiring constant human presence.
2Adaptability or versatility
If human creators work in pairs as co-hosts, then synergistic cooperation is achieved, but program diversity is limited when compatible co-creators are unavailable
Solution Approach 1:
The system implements universality by creating a multi-functional AI platform that can simulate multiple different creators with diverse talents and styles. The same system can generate content in various linguistic styles, prosodies, and content preferences, allowing unlimited virtual co-creators to work together or with human creators without being constrained by physical availability.
Solution Approach 2:
The patent transitions from physical co-creation to virtual co-creation by adding a dimensional layer of AI-generated content. This allows the system to explore combinations of creators that would be physically impossible, creating new dimensions of program diversity and collaboration.
Data Source
AI summary
Artificial intelligence agents generate media content for broadcasting to devices of listeners over one or more networks. An agent is trained based on episodes of previously aired media programs to identify topics of the episodes and media entities played during such episodes. Words or phrases spoken by human creators during such episodes are identified and modeled. The agent selects a topic of an episode of a media program and selects media entities that are consistent with those typically played during the media programs. The agent also identifies sets of words that are consistent with the topic, and transmits audio data including the selected media entities and sets of words spoken in voices having linguistic styles, a prosody or acoustic characteristics of the human creators to devices of listeners of the media program.