Simultaneous Speech Translation Voice Pattern Preservation
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Solution Overview
Problem
Current language translation devices suffer from delays and sound distortions, leading to inaccuracies and disruptions in real-time conversations between individuals speaking different languages, and lack the ability to maintain the personal voice pattern of the original speaker, disrupting the continuity of conversation.
Innovation Solution
A device and method that converts spoken language into digitized signals, uses a routing station to transmit translated outputs in the original speaker's voice pattern with minimal delays and sound distortions, employing voice pattern point clouds and finite element analysis to create a human-like voice model for simultaneous translation across multiple languages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional voice recognition and translation systems are used, then language translation can be achieved, but delays and sound distortions occur that disrupt real-time conversation
Solution Approach 1:
The patent segments the translation process into parallel components: voice recognition, translation, and voice synthesis operate simultaneously rather than sequentially. Multiple translation paths are created where the system divides the processing workload across parallel channels, allowing translation to occur without sequential delays while maintaining accuracy through multiple processing streams.
Solution Approach 2:
The system performs preliminary voice pattern analysis and translation preparation in advance. Voice patterns are captured and analyzed before full translation processing begins, and translation memory is pre-loaded with common phrases and structures. This preliminary action reduces the time required during actual conversation translation while maintaining reliability.
2Adaptability or versatility
If traditional translation systems are used, then language conversion is achieved, but the original speaker's voice pattern is lost disrupting conversation continuity
Solution Approach 1:
The patent creates a digital copy of the original speaker's voice pattern through voiceprint analysis. This voiceprint copy captures the unique characteristics, tone, and rhythm of the speaker's voice. The copied voice pattern is then applied to the translated output, allowing the translation to be delivered in the original speaker's voice rather than a generic synthesized voice, thereby maintaining conversation continuity and personal connection.
Solution Approach 2:
The system changes the parameters of the synthesized voice output to match the original speaker's voice characteristics. By adjusting pitch, tone, rhythm, and other acoustic parameters based on the captured voiceprint, the translation output mimics the original speaker's voice pattern while conveying the translated message, thus maintaining both adaptability for language conversion and stability for voice pattern consistency.
3Measurement precision
If voice recognition systems process speech accurately, then translation precision improves, but sound distortions are generated that disrupt conversation
Solution Approach 1:
The patent introduces an intermediary voiceprint analysis layer between voice recognition and translation output. This intermediary layer captures the essential voice characteristics without the distortions introduced by traditional voice recognition systems. By using this intermediary representation, the system achieves accurate speech recognition while avoiding the generation of harmful sound distortions in the final output.
Solution Approach 2:
The system replaces traditional mechanical voice recognition processing with a digital voiceprint analysis approach. Instead of relying on conventional signal processing that introduces distortions, the patent uses digital modeling of voice patterns that preserves accuracy while eliminating the harmful sound distortions generated by mechanical processing methods.
Data Source
AI summary
A device and method for translating language is disclosed. In one embodiment, for example, a method for providing a translated output signal derived from a speech input signal, comprises receiving a speech input signal in a first language, converting the speech input signal into a digital format, comprising a voice model component representing a speech pattern of the speech input signal and a content component representing a content of the speech input signal, translating the content component from the first language into a second language to provide a translated content component; and generating an audible output signal comprising the translated content in an approximation of the speech pattern of the speech input signal.