Voice Playback System Intent Analysis and Entity Extraction
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Solution Overview
Problem
Existing voice-controlled playback systems face challenges in accurately interpreting voice commands due to the lack of efficient processing methods, leading to delayed responses and reduced user satisfaction.
Innovation Solution
A voice-controlled content playback system that analyzes voice commands to determine user intent and extract specific entities associated with that intent, allowing for more precise control of playback devices, such as speakers or screens, by converting voice commands to text and using predefined patterns and regular expressions to streamline the search for relevant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If voice command interpretation is performed remotely through an online service, then the system can access powerful processing resources, but the response time increases and user satisfaction decreases
Solution Approach 1:
The voice command processing is segmented into two parts: initial analysis and entity extraction are performed locally on the playback device for quick response, while more complex interpretation can be performed remotely. This segmentation allows the system to leverage local processing power for time-critical operations while maintaining access to remote resources for heavier computational tasks.
Solution Approach 2:
The system performs preliminary analysis of the voice command locally to determine user intent and extract entities before potentially sending the command to a remote server. This preliminary action reduces the amount of data that needs to be transmitted and processed remotely, thereby reducing overall response time while still utilizing remote processing power when needed.
2Loss of information
If the system analyzes the entire voice command to extract all possible entities, then comprehensive information can be obtained, but the processing time increases
Solution Approach 1:
The system applies local quality by extracting only the specific entities relevant to the determined user intent from the voice command, rather than extracting all possible entities. This targeted approach maintains information completeness for the specific task while significantly reducing processing time by focusing computational resources on relevant entity extraction.
Solution Approach 2:
The system performs partial action by extracting only the necessary entities related to the user intent rather than performing exhaustive entity extraction. This partial extraction is sufficient for achieving the user's goal while avoiding the time cost of extracting all possible entities from the voice command.
3Measurement precision
If the system uses a multi-step analysis process to determine user intent and extract entities, then the accuracy of voice command interpretation improves, but the processing complexity increases
Solution Approach 1:
The complex interpretation process is segmented into distinct steps: user intent determination and entity extraction. Each step builds upon the previous one, with the intent determination informing the entity extraction process. This segmentation maintains high interpretation accuracy while making the overall system more manageable and easier to implement.
Solution Approach 2:
The system performs preliminary user intent determination before entity extraction. This preliminary action provides context that guides the subsequent entity extraction process, improving accuracy by focusing on entities relevant to the specific intent. The structured two-step approach maintains high precision while organizing complexity into manageable sequential operations.
Data Source
AI summary
The invention provides a content playback system comprising a playback device that is configured to detect a voice command from a user and to play content. When a voice command is received, the system is configured to analyse the voice command to determine a user intent. The system then extracts one or more entities from the voice command, wherein each of the extracted entities is of a type associated with the determined user intent. Then, based on the one or more extracted entities, the system controls the playback device. Analysis of the voice command in this manner may improve an accuracy with which a meaning of the voice command can be obtained, thereby facilitating control of the playback device.