Set-Top Box Voice Call Automation via Video Audio Recognition
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Solution Overview
Problem
Current communication systems lack an efficient method to facilitate voice calls directly from media content, such as video advertisements, by accurately identifying and matching telephone numbers using pattern and speech recognition, which hinders seamless interaction with marketing entities.
Innovation Solution
Implementing a system that uses image pattern recognition to identify telephone numbers in video content and speech recognition to verify audio numbers, allowing for the establishment of voice communications between a set-top box and a marketing entity's telephone device through a remote server, utilizing VoIP technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If telephone numbers are manually entered by viewers, then voice communication can be established, but user convenience deteriorates and interaction complexity increases
Solution Approach 1:
The system performs preliminary actions by automatically detecting and extracting telephone numbers from video content before the viewer needs to make a call. The set-top box continuously monitors video frames and audio streams, identifying telephone numbers in advance so that when a viewer expresses interest, the number is already prepared and ready for immediate dialing, eliminating manual entry time
Solution Approach 2:
The system enables self-service by allowing the video content itself to provide the telephone number information that viewers would otherwise need to manually extract and enter. The automatic recognition system serves itself by detecting numbers displayed on screen or spoken in the audio, making the calling process automated and viewer-initiated without requiring manual data input
2Extent of automation
If automatic telephone number recognition is implemented, then user convenience improves, but system complexity increases due to pattern and speech recognition requirements
Solution Approach 1:
The recognition system is segmented into two independent modules: pattern recognition for detecting telephone numbers in video frames and speech recognition for detecting numbers in audio streams. Each module operates separately and can be independently optimized or disabled, reducing the overall system complexity while maintaining comprehensive number detection capabilities
Solution Approach 2:
A matching module serves as an intermediary that receives detected telephone numbers from both pattern recognition and speech recognition systems. This intermediary compares the numbers, resolves discrepancies, and determines the most accurate number to use, simplifying the integration of multiple recognition systems by providing a centralized coordination layer
3Measurement precision
If both pattern recognition and speech recognition are used to verify telephone numbers, then measurement precision improves, but processing time and computational resources increase
Solution Approach 1:
The system applies partial verification by using pattern recognition as the primary detection method and speech recognition as a secondary verification method only when needed. If pattern recognition confidently identifies a telephone number, the system may proceed without additional speech verification, reducing processing time while maintaining sufficient accuracy for most cases
Solution Approach 2:
The system dynamically changes verification parameters based on context, such as adjusting the confidence threshold for accepting pattern recognition results or selecting which speech recognition algorithms to apply. This allows the system to maintain high precision when needed while reducing processing overhead when the situation allows for faster, less rigorous verification
Data Source
AI summary
A system that incorporates teachings of the present disclosure may include, for example, a server having a controller to receive a call request from a set top box that is remote from the server where the call request identifies a telephone number that is presented from video content presented by the set top box where the telephone number is detected based on a combination of image pattern recognition and speech recognition and where the telephone number is associated with a marketing entity, establish a voice communication with a first telephone device associated with the set top box, and establish the voice communication with a second telephone device associated with the telephone number and the marketing entity if the first telephone device accepts the voice communication. Other embodiments are disclosed.