Biomechanical Speech Transcription System
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Solution Overview
Problem
Conventional speech-to-text systems are inaccurate, particularly for non-English speaking accents, and struggle with dynamic speaking conditions such as speed changes, multiple speakers, and environmental noise, failing to accurately transcribe acoustic data from complex biological processes.
Innovation Solution
A system and method that generates biomechanical data using a codex to translate acoustic, linguistic, and phonetic data into a digital biological model, animating 3D objects across coordinate space, enhancing understanding and validation of acoustic data by processing and formatting input data into usable formats, including filtering noise and identifying speakers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional speech-to-text systems are used, then the system is simple and easy to operate, but the transcription accuracy is poor especially for non-English accents and dynamic speaking conditions
Solution Approach 1:
The system segments the speech processing into distinct modules: acoustic data processing, biomechanical model generation, codex translation, and linguistic analysis. Each module handles a specific aspect of speech analysis independently, improving overall accuracy while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces a biomechanical model as an intermediary between acoustic data and linguistic analysis. This intermediate representation captures the physical movements of the vocal apparatus, providing a bridge that enhances transcription accuracy for complex speaking conditions without directly increasing the complexity of the final output system.
2Reliability
If acoustic data is processed directly without biomechanical translation, then the processing is fast and simple, but the understanding of complex biological processes is insufficient
Solution Approach 1:
The system performs preliminary biomechanical translation of acoustic data into a standardized representation before linguistic analysis. This preliminary processing captures essential biological movements in advance, improving the reliability of acoustic understanding while the efficient translation process minimizes overall processing time.
3Measurement precision
If a codex translation system is implemented, then the translation between acoustic and linguistic data is accurate, but the system complexity increases
Solution Approach 1:
The codex system uses parameter transformations to map between different data representations (acoustic, biomechanical, linguistic). By changing the parameter space rather than creating complex transformation rules, the system achieves accurate translation while managing complexity through mathematical parameter relationships.
Data Source
AI summary
Embodiments described herein include aspects related generating a biomechanical data output. In one embodiment, the lexical data from input data is generated using codex mapping, the lexical data including multiple sound units. A stack of 3-Dimensional objects is generated using a biomechanical model for each sound unit in the lexical data, wherein the 3-Dimensional objects include components from the biomechanical model. An animated biomechanical data output is generated by rigging the stack of 3-Dimensional objects such that the animated biomechanical model of the interaction of the elements produce the lexical data.