Mobile Call Follow-Up Prediction Using Speech and State Sensing
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Solution Overview
Problem
Existing mobile terminals lack the ability to propose follow-up actions during ongoing calls based on phone conversation information and terminal state, leading to user inconvenience and disruption of conversations.
Innovation Solution
A call service processing apparatus and method that analyzes voice signals through speech recognition, detects state changes in the mobile terminal, and predicts follow-up actions to be executed during a call, such as activating specific applications or functions, using a combination of speech analysis, counterpart information, and sensing unit data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the mobile terminal provides limited functions during a call to save battery power and prevent malfunction, then the terminal stability is improved, but the user convenience deteriorates when follow-up actions are needed
Solution Approach 1:
The system performs speech recognition and analysis during the call to predict required follow-up actions in advance. By identifying user needs before the call ends, the terminal prepares necessary actions (such as sending messages, making new calls, or accessing information) so users can execute them immediately after the call without interruption or delay, thus maintaining terminal stability during the call while ensuring user convenience afterward
2Adaptability or versatility
If the user performs another action during an ongoing call, then the user can access needed information or functions, but the phone conversation is disrupted
Solution Approach 1:
The system analyzes speech content during the call to predict what actions the user will need after the conversation ends. By preparing these actions in advance and presenting them as follow-up options, the user can select and execute needed functions immediately after the call without having to interrupt the conversation to access information or set up actions manually, thus maintaining both function accessibility and conversation continuity
Solution Approach 2:
The system automatically performs speech recognition, analysis, and prediction of user needs without requiring manual input during the call. The terminal serves itself by identifying user intentions from the conversation content and preparing appropriate follow-up actions, reducing the need for user intervention and maintaining conversation flow while ensuring needed functions are readily available afterward
Data Source
AI summary
An apparatus and method for processing call services in a mobile terminal are provided. The method for processing call services in a mobile terminal includes entering into, when a call is generated, a call handling mode, recognizing and analyzing voice signals sent and received in the call to produce speech analysis information, detecting a state change of the mobile terminal using a sensing unit to produce user behavior information, and predicting, when a state change of the mobile terminal is detected, an application corresponding to the speech analysis information, and activating the application as a follow-up service.