Smart Interpreter Engine for Real-Time Gaming Translation
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Solution Overview
Problem
In the video game industry, communication difficulties arise between players speaking different languages, leading to poor interaction and recording outcomes, as existing technologies fail to effectively facilitate real-time language translation and vocal identification.
Innovation Solution
An electronic system and multimedia processing method that acquires audio data, processes it using a smart interpreter engine for neural machine translation, converting speech into text and vice versa, enabling seamless communication across languages by integrating audio processing, relay processing, and smart interpreter engines within gaming systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If real-time language translation and vocal identification are implemented in gaming systems, then communication effectiveness between players of different languages is improved, but system complexity and processing time increase
Solution Approach 1:
The system segments audio processing into distinct functional modules: audio data acquisition, vocal identification, noise suppression, speech-to-text conversion, neural machine translation, and text-to-speech conversion. Each module handles a specific task in the communication pipeline, allowing independent optimization and maintenance while collectively solving the language barrier problem in gaming.
Solution Approach 2:
The patent introduces intermediate processing components including noise suppression modules and relay processing modules that mediate between audio input and translation output. These intermediaries filter and prepare audio data before translation, improving accuracy while managing system complexity through structured intermediate stages.
2Measurement precision
If audio data is processed through vocal identification and neural machine translation, then language understanding accuracy is improved, but processing speed and time consumption increase
Solution Approach 1:
The system performs preliminary vocal identification and noise suppression on audio data before initiating full neural machine translation. By pre-processing audio signals to identify valid speech segments and remove background noise, the system reduces the amount of data requiring intensive translation processing, thereby maintaining accuracy while reducing overall processing time.
Solution Approach 2:
The patent applies partial processing by focusing computational resources only on identified vocal segments rather than processing all audio data equally. Noise suppression and vocal identification act as filters that enable selective processing, applying full translation capability only where needed rather than uniformly across all audio input.
3Reliability
If multiple processing modules including audio processing and smart interpreter engines are integrated, then communication quality across languages is improved, but device resource consumption increases
Solution Approach 1:
The smart interpreter engine is designed as a multi-functional component that performs vocal identification, speech-to-text conversion, neural machine translation, and text-to-speech conversion within a single integrated system. This universal module handles multiple communication tasks without requiring separate dedicated hardware for each function, optimizing resource utilization while maintaining comprehensive communication quality.
Data Source
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AI summary
An electronic system is provided. The electronic system includes a host, an audio output device and a display. The host includes an audio processing module, a relay processing module, a smart interpreter engine and a driver. The audio processing module is utilized for acquiring audio data corresponding to a first language from audio streams processed by an application program executed on the host. The smart interpreter engine is utilized for converting the audio data corresponding to the first language into text data corresponding to a second language. The relay processing module is utilized for transmitting the text data corresponding to the second language to the display for displaying. The driver is utilized for converting the data corresponding to the first language into an analog audio signal corresponding to the first language and transmitting the analog audio signal corresponding to the first language to the audio output device for playback.