CGR Speech Synthesis via Language Characteristic Modification
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Solution Overview
Problem
In virtual speech synthesis, existing technologies struggle to adapt speech inputs to match the language characteristics and relationships of participants in a computer-generated reality (CGR) environment, leading to potential misuse of inappropriate speech patterns.
Innovation Solution
A device that includes a display, an audio sensor, and processors to modify speech inputs based on language characteristic values associated with a fictional character, ensuring that the synthesized CGR speech aligns with the intended audience and context within the CGR environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If speech inputs are directly transmitted without modification in CGR environments, then communication efficiency is improved, but speech appropriateness and realism deteriorate
Solution Approach 1:
The system performs preliminary analysis of the fictional character's language characteristics (accent, tone, vocabulary, grammar patterns) before the speech transmission occurs. This pre-processing enables the modification of user speech to match the character's linguistic profile in advance, ensuring appropriateness without compromising communication efficiency.
Solution Approach 2:
The patent introduces an intermediary speech modification system that acts as a mediator between the user's original speech and the transmitted speech. This intermediary layer analyzes the fictional character's language characteristics and transforms the user's speech accordingly, maintaining both communication efficiency and speech appropriateness.
2Reliability
If speech modification based on language characteristics is implemented, then speech realism and appropriateness are improved, but system complexity increases
Solution Approach 1:
The speech modification system is segmented into distinct functional modules: a language characteristic analysis module that extracts accent, tone, and vocabulary patterns from fictional character data, and a speech transformation module that applies these characteristics to user speech. This segmentation reduces overall system complexity by making each module independently manageable.
Solution Approach 2:
The system creates a linguistic model (copy) of the fictional character's speech patterns by analyzing their language characteristics. This copied linguistic profile is then applied to modify user speech, avoiding the need for complex real-time generation of entirely new speech patterns while maintaining realism.
3Manufacturing precision
If comprehensive language characteristic analysis is performed, then speech accuracy to character profile is improved, but processing time increases
Solution Approach 1:
The system performs comprehensive language characteristic analysis in advance, before speech transmission is needed. By pre-processing and storing the linguistic profile of the fictional character (accent, tone, vocabulary preferences, grammar patterns), the system avoids time-consuming analysis during actual speech communication, thus maintaining high accuracy while reducing processing time.
Solution Approach 2:
The speech modification system dynamically adjusts the level of analysis based on context. For routine communications, it applies pre-analyzed language characteristics quickly. For more critical or nuanced interactions, it performs more comprehensive real-time analysis, optimizing the balance between accuracy and processing time.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods for synthesizing virtual speech. In various implementations, a device includes a display, an audio sensor, a non-transitory memory and one or more processors coupled with the non-transitory memory. A computer-generated reality (CGR) representation of a fictional character is displayed in a CGR environment on the display. A speech input is received from a first person via the audio sensor. The speech input is modified based on one or more language characteristic values associated with the fictional character in order to generate CGR speech. The CGR speech is outputted in the CGR environment via the CGR representation of the fictional character.