Voice Flow Framework Speech Interaction Modularization
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Solution Overview
Problem
Existing software frameworks face challenges in efficiently processing and executing speech-enabled conversational interactions, requiring significant effort and expertise in areas like voice recognition, natural language processing, and integrating multiple input modalities.
Innovation Solution
The development of the Voice Flow Framework (VFF) and Media Framework (MF), along with the Conversational Voice Flow system (CVFS), which provides frameworks, interfaces, and configurable data structures to enable, interpret, and execute speech-enabled conversational interactions, allowing for the selection and loading of media modules, audio session management, and processing of VoiceFlows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If speech recognition and natural language processing are integrated into existing software frameworks, then speech-enabled conversational interactions are enabled, but device complexity and implementation difficulty increase significantly
Solution Approach 1:
The framework is divided into distinct modular components: speech recognition module, natural language processing module, dialog management module, and application integration module. Each module handles a specific aspect of speech processing, allowing independent development, testing, and maintenance while reducing overall system complexity.
Solution Approach 2:
A dialog management intermediary layer is introduced between the speech recognition system and the application logic. This mediator handles complex NLP tasks, context management, and conversation flow control, shielding applications from the complexity of speech processing while enabling sophisticated conversational capabilities.
2Adaptability or versatility
If multiple input modalities are integrated into the framework, then interaction versatility is improved, but ease of operation and implementation become more difficult
Solution Approach 1:
The framework implements a universal input processing architecture that handles multiple modalities (speech, text, touch, gesture) through a common interface and processing pipeline. This allows applications to work with any input type without requiring separate integration code for each modality, significantly improving ease of operation while maintaining versatility.
3Ease of operation
If speech-enabled interactions are added to programs, then user convenience and engagement are improved, but development effort and expertise requirements increase
Solution Approach 1:
The framework provides self-service capabilities through automated speech recognition, automatic natural language understanding, and context-aware dialog management. The system automatically handles speech processing tasks without requiring developers to manually program speech recognition logic, reducing development effort while improving user convenience.
Solution Approach 2:
Traditional mechanical input methods (keyboard typing, mouse clicking) are replaced with speech-based interaction mechanisms. The framework substitutes speech recognition and NLP processing for manual input operations, enhancing user convenience while providing pre-built components that reduce development effort compared to implementing speech processing from scratch.
Data Source
AI summary
Frameworks, interfaces and configurable data structures are disclosed that enable programs to execute speech-enabled conversational interactions and processes with their users. In accordance with one or more examples, a method includes, at an electronic device with one or more processors and memory: providing a program the capability to conduct speech-enabled conversational interactions with a user; loading, interpreting and processing configurable structured data which drive the execution of speech-enabled interactions between a program and a user; listening to and processing real time events and requests from a program, electronic device or other programs executing on the device; and, making real-time adaptations to conversational interactions. A program executing on an electronic device and using the invention frameworks and interfaces, specifies, and without limitation: the configured data structures for the frameworks in the invention to process; and a plurality of conversational speech capabilities to request from the frameworks of the invention.