Using a voice command during a call
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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 the state of the device, 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 performed 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 device stability is improved, but the user convenience deteriorates when follow-up actions are needed
Solution Approach 1:
The system performs speech recognition and analyzes phone conversation information during the call to predict and prepare follow-up actions in advance. By analyzing the conversation content and predicting user needs before they arise, the system prepares necessary functions ahead of time, allowing seamless transition to follow-up actions without disrupting the call or requiring the user to manually activate functions during the conversation.
2Productivity
If the user performs another action during an ongoing call, then the task completion is improved, but the phone conversation quality deteriorates due to disruption
Solution Approach 1:
The system predicts follow-up actions based on speech recognition results and conversation analysis before the user needs to perform them. By preparing the necessary functions and interfaces in advance, the user can execute tasks smoothly with minimal interruption to the conversation flow.
Solution Approach 2:
The system automatically analyzes the phone conversation information and proactively provides follow-up action suggestions without requiring user initiation. The mobile terminal itself performs the analysis and prediction work, serving the user's needs automatically based on the conversation context, thereby reducing the cognitive load and manual intervention required during calls.
3Measurement precision
If the mobile terminal analyzes phone conversation information through speech recognition, then the follow-up action accuracy is improved, but the energy consumption increases
Solution Approach 1:
The system performs speech recognition and conversation analysis selectively based on the call context and detected patterns. Rather than continuously analyzing all conversations, the system activates analysis when ARS patterns are detected or when conversation content suggests potential follow-up actions, thereby reducing overall energy consumption while maintaining accuracy when needed.
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.