Speech Processing Unit Data Structure for Language Teaching
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Solution Overview
Problem
Existing systems lack an efficient method to connect content management systems (CMS) providing textual language learning tasks with speech processing units for language learning by listening and speaking, limiting the development of a comprehensive language teaching platform.
Innovation Solution
A digital data structure defining a data interface for speech processing units, incorporating typed data fields and XML elements/attributes, allows connection of CMS with textual language learning tasks, enabling processing and presentation of tasks in a format suitable for language processing units, including additional elements for task types and voice characteristics, and utilizing JavaScript Object Notation for communication protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a CMS providing textual language learning tasks is connected to a speech processing unit, then a comprehensive language teaching platform can be created, but no efficient connection method existed before this invention
Solution Approach 1:
The data structure uses standardized XML elements and attributes that can universally interface with both CMS systems and speech processing units, enabling a single integration framework to serve multiple functions including task delivery, speech processing, and result feedback across different system configurations
Solution Approach 2:
The patent introduces an intermediary data structure layer with typed data fields that mediates between the CMS and speech processing unit. This intermediary structure standardizes data exchange formats, simplifying the connection by providing a universal interface that translates between different system requirements
2Device complexity
If standardized data structures are implemented for data exchange, then system integration is simplified, but the data structure must accommodate multiple task types and voice characteristics
Solution Approach 1:
The data structure is segmented into distinct typed data fields, each dedicated to specific information types such as task parameters, voice characteristics, and learning content. This segmentation allows the standardized structure to accommodate multiple task types and voice parameters through modular field organization rather than requiring a monolithic complex structure
Solution Approach 2:
The patent extends the basic SSML data structure by adding additional XML elements and attributes as a new dimension of data organization. This allows the standardized structure to handle diverse task types and voice characteristics by organizing them in additional hierarchical levels and attributes rather than complicating the base structure
Data Source
Figure 1
AI summary
Data structure for a speech processing unit, which defines a data interface of the speech processing unit, as well as a system for learning a language by listening and speaking, and a method for operating a language learning platform.