Speech-Based Content Search and Browsing System
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Solution Overview
Problem
Existing speech recognition systems face challenges in efficiently organizing and displaying content using speech controls, particularly for complex and sophisticated computing devices, as they often rely on costly data tree structures and are limited to tactile input and visual output.
Innovation Solution
A system that uses automatic speech recognition (ASR) and natural language understanding (NLU) to determine user intent and content sources, allowing for speech-controlled searching and browsing without the need for expensive data trees, and can output results on various endpoint devices based on user preferences and context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional data tree structures are used to organize content, then content organization is achieved, but system cost and complexity increase
Solution Approach 1:
The patent replaces traditional mechanical data tree structures with a speech-based virtual organization system. Instead of using complex hierarchical data structures to organize content, the system uses speech recognition and natural language processing to dynamically organize and retrieve content based on user intent, eliminating the need for costly and complex data tree structures while maintaining effective content organization
Solution Approach 2:
The patent introduces speech recognition and natural language understanding as intermediary layers between the user and content organization system. These intermediaries translate spoken commands into structured queries and interpret user intent, replacing the need for direct interaction with complex data tree structures and providing a simpler interface for content organization
2Ease of operation
If tactile input and visual output methods are used, then user interaction is established, but input and output capabilities are limited
Solution Approach 1:
The patent implements multi-functional input and output capabilities by integrating speech recognition, natural language understanding, and multiple output channels (visual displays, audio output, haptic feedback). The system can accept speech input and translate it into various output formats based on context and user preference, making the interaction system universally applicable across different device types and user needs rather than being limited to traditional tactile and visual methods
Solution Approach 2:
The patent creates a dynamic interaction system where the input and output methods can adapt in real-time based on user intent, context, and device capabilities. The speech-based interface dynamically determines the appropriate output modality (visual, auditory, or haptic) and can switch between different interaction modes, providing versatile and adaptive user interaction rather than static tactile and visual methods
3Extent of automation
If speech recognition systems are implemented, then speech-based control is achieved, but determining user intent and content sources becomes complex
Solution Approach 1:
The patent applies preliminary action by pre-training natural language understanding models with extensive speech patterns, intent categories, and content source mappings before deployment. The system prepares classification rules, decision trees, and contextual models in advance, so that when speech input is received, the complex intent determination can be performed efficiently using pre-computed frameworks rather than building complexity in real-time
Solution Approach 2:
The patent segments the speech recognition and intent determination process into distinct modular components: speech-to-text conversion, natural language parsing, intent classification, and content source identification. Each module handles a specific aspect of the processing chain, reducing overall system complexity by breaking down the complex intent determination task into manageable, independent segments that can be developed and optimized separately
Data Source
AI summary
Speech-controlled searching and browsing for content using speech-controlled devices, or other input-limited devices, is described. A user may audibly indicate to a speech-controlled device whether the user wants to search or browse for content, along with a topic of the content/results to be retrieved. A server, located remotely from the speech-controlled device determines an appropriate endpoint device for displaying results of the requested search or browse. The server also determines an appropriate content source for the requested content, and sends a request for the content to the content source. The server receives search or browse results from the content source and forwards them to the determined endpoint device.