Apparatus and method for processing call services in mobile terminal
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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 to predict and propose follow-up actions during a call, considering both conversation information and the mobile terminal's state, allowing for advanced user actions such as scheduling checks or spam registration without interrupting the call.
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 analysis during the call to predict what actions the user will need to perform afterward. By identifying follow-up actions in advance (such as scheduling checks, message responses, or information searches), the system prepares and presents these options to the user before the call ends, allowing seamless transition to post-call tasks without requiring the user to manually initiate them after hanging up.
2Ease of operation
If the mobile terminal analyzes phone conversation information to propose follow-up actions, then the user convenience is improved, but the device complexity increases
Solution Approach 1:
The mobile terminal integrates multiple functions including speech recognition, conversation analysis, action prediction, and application recommendation into a unified call service processing system. This multi-functional approach allows the device to handle various types of follow-up actions (scheduling, messaging, information search, etc.) through a single integrated framework rather than requiring separate systems for each function.
Solution Approach 2:
The system automatically analyzes the conversation content and autonomously determines what follow-up actions the user might need. Instead of requiring the user to manually specify each action, the system serves itself by interpreting the call context and generating appropriate action recommendations, reducing the cognitive load on the user while managing the complexity internally through automated processes.
3Productivity
If the mobile terminal performs speech recognition and conversation analysis during a call, then the productivity is improved by enabling follow-up actions, but the energy consumption increases
Solution Approach 1:
The system performs speech recognition and conversation analysis selectively during the call rather than continuously processing all audio data. It focuses on identifying key phrases and intents that indicate potential follow-up actions, using partial processing of the conversation content. This approach provides sufficient productivity improvement by capturing essential information while consuming less energy than complete real-time analysis of the entire conversation.
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.