Context-Aware Voice Synthesis from Pre-Recorded Game Character Audio
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Solution Overview
Problem
Existing video games struggle with synchronizing pre-recorded character voices with dynamic game actions, leading to a disconnect between audio and visual elements, which diminishes immersion and engagement.
Innovation Solution
A system and method for dynamically modifying game character voices using an audio processing unit that recognizes game character actions and states, applies context-aware voice effects, and utilizes a generative neural network to synthesize audio signals that align with the character's context and actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If pre-recorded voices are used in video games, then voice quality and acting performance are improved, but synchronization with dynamic game actions deteriorates
Solution Approach 1:
The patent applies dynamics by transforming static pre-recorded voice data into dynamic, context-adaptive audio output. The system modifies voice characteristics in real-time based on game state parameters such as character actions, emotions, and environmental context, allowing the same pre-recorded voice data to adapt to varying game situations without requiring separate recordings for each scenario.
Solution Approach 2:
The system changes audio parameters (pitch, timbre, intensity, duration) of pre-recorded voice data based on game context. By adjusting these parameters dynamically, the patent maintains the quality of pre-recorded voices while enabling them to reflect different character states and game situations, resolving the contradiction between voice quality and action synchronization.
2Adaptability or versatility
If more pre-recorded voice variations are created to cover different game states, then adaptability is improved, but device complexity and production cost increase
Solution Approach 1:
The patent makes a single set of pre-recorded voice data serve multiple functions by applying context-based modifications. Instead of requiring separate voice recordings for each game state, the system processes the same voice data through different parameter adjustments based on the current game context, reducing the need for extensive voice libraries while maintaining comprehensive coverage.
Solution Approach 2:
The system introduces an intermediary processing layer between the pre-recorded voice data and the final audio output. This intermediary module analyzes game context and applies appropriate modifications to the voice data, acting as a mediator that translates static recordings into context-appropriate audio without requiring direct creation of multiple voice variations.
3Adaptability or versatility
If real-time voice modification is implemented, then synchronization with game actions is improved, but processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-processing and organizing voice data into context-specific categories and preparing modification parameter sets in advance. This allows the real-time processing to simply select and apply pre-prepared modifications rather than generating them from scratch, reducing computational overhead and processing delay.
4Ease of operation
If context-aware voice processing is added, then user engagement is improved, but system complexity increases
Solution Approach 1:
The patent merges the voice modification functionality with the existing game engine's context detection systems. By integrating voice processing with already-present game state tracking and animation systems, the patent avoids creating a separate complex subsystem while still achieving context-aware voice adaptation that enhances user engagement.
Data Source
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AI summary
A method for dynamically modifying voices of a game character. The method comprises the step of loading voice data of the game character; partitioning the voice data into windows of audio signal; estimating context of game character states; generating audio signal based on an upcoming window of audio signal and the estimated context; and playing the generated audio signal in lieu of the upcoming window of audio signal.