Call Recording Cue Detection for Automatic Data Extraction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Mobile device users often miss capturing important information during calls due to being occupied, such as driving, and existing systems lack efficient methods to automatically memorialize and report call details.
Innovation Solution
A network component or mobile device system that detects calls and predefined record cues, captures relevant portions of the call, and associates identifiers with the captured data for automatic recording and reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the user manually takes notes during a call, then important information can be captured, but the user must be available and attentive during the call
Solution Approach 1:
The system automatically detects record cues in the call audio, captures relevant portions, transcribes them to text, and stores them without requiring user intervention. The network component or mobile device performs the information capture task autonomously, eliminating the need for manual note-taking by the user.
Solution Approach 2:
The manual mechanical action of writing notes is replaced by an automated electronic system that uses audio detection, pattern recognition, and text processing to capture and store call information automatically.
2Productivity
If the user does not take notes during a call, then the user can remain occupied with other activities, but important information is lost
Solution Approach 1:
The system autonomously monitors call audio, detects predetermined record cues, and automatically captures and stores relevant information without requiring the user to allocate attention or time for note-taking, thereby maintaining user productivity while preventing information loss.
Solution Approach 2:
The system provides feedback to the user by storing captured call information in accessible locations (call logs, messages, emails) where users can review it later, confirming that information was successfully captured even when the user was occupied.
3Loss of information
If the system captures entire calls automatically, then all information is recorded, but excessive data is stored and processed
Solution Approach 1:
The system extracts only the relevant portions of the call by detecting predetermined record cues (keywords, phrases, or patterns) and capturing only the segments containing important information, rather than recording the entire call. This selective extraction reduces data volume while preserving essential content.
Solution Approach 2:
Different portions of the call are treated differently based on their content. The system applies selective capture to specific time segments where record cues are detected, rather than uniformly processing the entire call, optimizing resource usage and data management.
Data Source
AI summary
A network component comprising a communications portion and a processor portion is disclosed. The communications portion may be configured to detect a signal indicative of a call associated with a mobile device. The processor portion may be configured to detect at least one record cue in the signal. The processor portion may be also be configured to respectively capture at least one portion of the call upon the at least one record cue being detected. The processor portion may also be configured to respectively associate at least one identifier with the at least one captured portion of the call. The identifier may respectively identify the at least one captured portion of the call.