Voice Data Action Generation for Mobile Phone Calls
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users of mobile computing devices face inefficiencies in processing and retaining information during phone calls, leading to errors when trying to remember or note down follow-up actions like scheduling events, due to the overwhelming volume of information and difficulty in manual data entry while multitasking.
Innovation Solution
An automated technique processes audio data from phone conversations, transcribing it into text and generating contextually relevant actions, which can be executed directly through associated applications, using either remote or local transcription services, allowing users to select and launch actions without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually enter information into mobile devices after phone calls, then information can be recorded for later use, but time is lost and errors occur due to difficulty in remembering details
Solution Approach 1:
The system performs preliminary transcription of the phone conversation into text during or immediately after the call, so that when the user needs to record follow-up actions, the information is already prepared and structured. This eliminates the need for manual data entry and reduces both time loss and errors.
Solution Approach 2:
The system automatically generates action items and calendar events from the transcribed conversation without requiring user intervention for data entry. The system serves itself by identifying key information, structuring it appropriately, and creating the necessary records autonomously.
2Loss of information
If users try to remember and note down follow-up actions during a phone call, then information can be captured, but the overwhelming volume of information makes it difficult to retain details
Solution Approach 1:
The system replaces the mechanical process of human memory and manual note-taking with an automated computational system. The transcription service converts speech to text, and the system automatically identifies and structures follow-up actions, eliminating the cognitive burden on the user.
Solution Approach 2:
The transcribed text serves as an intermediary between the phone conversation and the final recorded actions. This intermediate representation makes it easier to identify, extract, and structure the necessary information without requiring the user to mentally process and remember all details.
3Productivity
If automated transcription services are used to process audio data, then information processing efficiency is improved, but device complexity increases due to integration of transcription and action generation systems
Solution Approach 1:
The system introduces a text transcription as an intermediary layer between the audio input and the action generation process. This intermediary simplifies the overall system architecture by breaking down the complex task of directly converting speech to structured actions into more manageable steps: speech-to-text transcription, then text-to-action generation.
Data Source
AI summary
An automated technique is discussed for processing audio data and generating one or more actions in response thereto. In particular embodiments, the audio data can be obtained during a phone conversation and post-call actions can be provided to the user with contextually relevant entry points for completion by an associated application. Audio transcription services available on a remote server can be leveraged. The entry points can be generated based on keyword recognition in the transcription and passed to the application in the form of parameters.