Telephone Call Information Retrieval via Audio-to-Text Conversion
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Solution Overview
Problem
Users often receive calls from unknown callers without additional identifying information, making it difficult to recall the caller's number later, especially if the number is not saved in the device's contact list.
Innovation Solution
A method and system for collecting and retrieving telephone call information, including the caller's number, conversation audio, call duration, and user actions, which converts audio to text and stores this information for later retrieval via a graphical user interface, allowing users to associate numbers with caller identities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the device displays only the caller's telephone number, then the device complexity is low, but the user cannot recall the caller's identity for unknown numbers
Solution Approach 1:
The system performs preliminary actions by collecting and storing call information (audio, text, location, user actions) during and after the call before the user needs to recall the caller's identity. This advance preparation ensures that when the user views the caller number, comprehensive information is already available to help identify the caller without requiring complex real-time processing.
Solution Approach 2:
The system introduces an intermediary information layer between the caller's telephone number and the user's understanding of the caller's identity. By collecting and displaying additional context information (conversation text, location, user actions taken during/after the call), the system mediates the gap between a simple number and meaningful caller identification.
2Loss of information
If the device collects and stores comprehensive call information including audio and user actions, then the user can recall caller identity, but the loss of time for information processing increases
Solution Approach 1:
The system performs information collection and processing in advance during and immediately after the call, so that when the user needs to recall caller identity, the processing is already complete. This eliminates delays at the moment of information retrieval.
Solution Approach 2:
The system replaces manual user effort (remembering caller identity) with automated information processing and presentation. By automatically collecting, converting audio to text, and organizing call information, the system substitutes mechanical human memory functions with automated computational processes.
3Loss of information
If the device displays detailed call information, then the user can associate numbers with caller identities, but the ease of operation decreases due to information overload
Solution Approach 1:
The system applies local quality by providing different levels of information detail in different contexts. The interface displays the essential caller number prominently while making additional detailed information (conversation text, location, user actions) available on-demand or in expanded views, allowing users to access comprehensive information without being overwhelmed by a cluttered main display.
Data Source
AI summary
Techniques are provided for telephone call information collection and retrieval. A receiver device receives a telephone call from a caller device. The receiver device collects information associated with the telephone call and stores the information in a memory. Subsequently, the receiver device displays, via a graphical user interface, the telephone number of the caller device. The receiver device receives, via the graphical user interface, a user selection of the telephone number of the caller. In response to the user selection, the receiver device displays, via the graphical user interface, the information stored in the memory, including, for example, the start and end times of the telephone call, the location(s) of the receiver device during the telephone call, and text representing the audio of the call (e.g., speech-to-text conversion of at least a portion of the audio).