Neural Audio Event Extraction for Custom Gaming Streams
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Solution Overview
Problem
Gamers face challenges in efficiently managing and utilizing multiple gaming accessories, which can impact their performance in online and competitive games, and there is a need for improved audio management to enhance player interaction and performance analysis.
Innovation Solution
A method and apparatus that utilizes a neural network to extract and enhance specific audio events from gaming systems, allowing players to customize audio streams, apply head-related transfer functions, and provide separate audio streams for improved clarity and competitiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If gamers use multiple gaming accessories simultaneously, then the gaming functionality and interaction capabilities are enhanced, but the complexity of managing and utilizing these accessories increases
Solution Approach 1:
The patent implements a universal accessory management system that can handle multiple types of gaming accessories (headsets, microphones, controllers) through a single integrated interface. The system provides unified configuration, monitoring, and control capabilities across different accessory types, allowing gamers to manage diverse devices without dealing with individual complex settings for each accessory.
2Measurement precision
If audio streams are processed to extract specific audio events, then the clarity and competitiveness are improved, but the processing complexity and computational resources increase
Solution Approach 1:
The patent extracts specific audio events (footsteps, gunshots, explosions) from the mixed audio stream by isolating and separating these particular sound components from the overall audio environment. This extraction process focuses computational resources on identifying and enhancing only the relevant audio events that provide competitive advantage, rather than processing the entire audio spectrum equally.
Solution Approach 2:
The patent applies different processing qualities and levels of analysis to different portions of the audio stream based on their importance. Critical audio events receive enhanced processing and isolation, while less important background sounds receive minimal processing. This local quality approach optimizes computational resources by concentrating processing power where it provides the most competitive benefit.
Data Source
AI summary
A system that incorporates the subject disclosure may include, for example, receiving an input audio stream from a gaming system, the input audio stream including gaming audio of a video game played by a game player, the input audio stream including a plurality of classes of sounds, providing the input audio stream to a neural network, extracting, by the neural network, sounds of a selected class of sounds of the plurality of classes of sounds, and providing a plurality of output audio streams including providing a first audio stream including the sounds of the selected class of sounds of the input audio stream and a second audio stream including remaining sounds of the input audio stream. Additional embodiments are disclosed.