Ambient Voice Capture for In-Game Character Synthesis
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Solution Overview
Problem
Current video game technologies lack immersive experiences due to limited utilization of ambient audio data from environments, resulting in standard and unpersonalized non-player character (NPC) voices.
Innovation Solution
A computer system that uses ambient noise from microphones to distinguish user and background voices, derive voice fingerprints, and input these parameters into a generative AI model for synthesizing speech that mimics the background voices, enhancing realism and personalization in video games.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ambient noise is captured and processed to create personalized NPC voices, then voice quality and immersion are improved, but system complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary voice fingerprint extraction and phoneme isolation from ambient noise during gameplay, storing these parameters for later speech synthesis. This preliminary processing enables quick generation of personalized NPC voices without real-time complexity
Solution Approach 2:
The patent introduces an intermediary generative AI model that bridges the gap between captured ambient voice parameters and synthesized speech output. This model processes the complex transformation from raw audio parameters to natural-sounding speech, isolating the complexity from the main game engine
2Manufacturing precision
If phonemes are isolated from background voices in real-time, then speech synthesis accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system extracts and stores phoneme parameters from background voices in advance during gameplay sessions. These pre-processed phoneme representations are saved for rapid retrieval and synthesis, eliminating the need for real-time phoneme isolation during critical game moments
Solution Approach 2:
The patent applies partial phoneme isolation by focusing on extracting only the essential phoneme parameters needed for speech synthesis rather than complete voice replication. This selective processing reduces computational overhead while maintaining sufficient accuracy for NPC dialogue
3Adaptability or versatility
If multiple background voices are distinguished and processed, then voice diversity and realism are improved, but algorithm complexity increases
Solution Approach 1:
The system segments the audio environment into distinct voice sources using voice fingerprinting technology. Each background voice is identified and processed separately, allowing the system to handle multiple voices independently and combine them appropriately for diverse NPC dialogue
Solution Approach 2:
The patent transforms complex voice distinction problems into parameter-based processing by extracting key acoustic features and phoneme representations. This parameter transformation simplifies the comparison and differentiation of multiple background voices, reducing algorithmic complexity while maintaining voice diversity
Data Source
AI summary
Methods and systems are presented for discerning background voices from ambient noise in a video game player's surroundings, isolating the voices using distinct phonemes within the voices, and running the phonemes through a generative artificial intelligence (AI) model to produce synthesized speech in the video game. The synthesized speech can be spoken by players or non-player characters, modified in age, gender, and other attributes of the avatar renderings. The text for the synthesized speech can be for static scripts or alterations based on gameplay. The player can select from different background voices and apply them to in-game characters and elements as desired.