Embedded ASR and Correlation Module for Real-Time Transcription
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing communication devices lack the ability to effectively transcribe and analyze conversations in real-time, derive correlations between audio content and outputs, and convey this information to both the user and external computing devices, particularly in wearable or portable devices.
Innovation Solution
The development of communication devices equipped with a microphone, an embedded automated speech recognition module for transcription, and a correlation module that searches for and derives correlations between audio content and outputs, transmitting this information to an external computing device and displaying it through a dynamic script checklist screen.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated speech recognition technology is embedded in communication devices, then transcription accuracy is improved, but device complexity increases
Solution Approach 1:
The patent combines automated speech recognition technology, correlation analysis modules, and transcription capabilities into a single integrated communication device. The ASR module, correlation module, and transcription module work together within the same device architecture, allowing the system to perform multiple functions (speech-to-text conversion, correlation derivation, and real-time analysis) without requiring separate external systems for each function.
Solution Approach 2:
The communication device is designed with multi-functional capabilities that serve multiple purposes: the microphone captures audio for both communication and analysis, the ASR module transcribes speech for both display and data extraction, and the correlation module analyzes patterns across different conversation types. This universal design allows a single device to handle diverse tasks including customer service monitoring, sales analysis, and general conversation transcription.
2Productivity
If real-time transcription and correlation analysis are performed, then information extraction efficiency is improved, but processing time increases
Solution Approach 1:
The system performs preliminary transcription of audio content into text format using the ASR module before the correlation analysis begins. This preliminary conversion allows the correlation module to work with text data rather than raw audio, significantly reducing the computational time required for pattern recognition and correlation derivation. The transcription is prepared in advance so that when correlation analysis is needed, the system can quickly process the already-transcribed text.
Solution Approach 2:
The patent replaces traditional manual analysis methods with automated computational processes. Instead of human operators listening to and analyzing conversations, the system uses ASR technology to automatically transcribe speech and employs correlation modules to automatically derive patterns and insights from the transcribed text, dramatically improving processing speed and efficiency.
3Loss of information
If correlation modules derive patterns from multiple conversation types, then data analysis depth is improved, but computational resources increase
Solution Approach 1:
The correlation module is designed to analyze different conversation types separately by segmenting the audio input into distinct categories such as customer service calls, sales conversations, and general inquiries. Each segment is processed independently to derive type-specific correlations and patterns. This segmentation allows the system to focus computational resources on analyzing relevant features for each conversation type rather than processing all conversations uniformly, thereby reducing overall computational burden while maintaining deep analytical insights.
Data Source
AI summary
Communication devices, such as headsets, point of sale terminals, and personal badges, are disclosed that include a microphone that receives and transmits audio content to a third party. The devices further include an automated speech recognition module, which is configured to receive the audio content and transcribe the audio content into text. In addition, the communication devices include a correlation module, which is configured to derive correlations between the audio content and a plurality of outputs—and transmit such correlations and outputs to the user of the communication device. The devices further include a user interface that displays a dynamic script checklist screen that is configured to communicate information in real-time to the person wearing or using the device, regarding a conversation that such person is having with a third party.