Audio Content Analysis System Real-Time Transcription Correlation
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Solution Overview
Problem
Businesses face challenges in efficiently and accurately extracting relevant information and data from numerous conversations with customers and third parties, making it time-consuming and difficult to analyze and report systematically and in real-time.
Innovation Solution
Systems and methods that transcribe audio content into text in real-time, derive correlations between the text and associated metadata, and generate custom outputs, reporting these correlations and outputs to users in real-time, utilizing a transcription module, correlation module, and database, with optional microphone and user interface for live audio streaming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual analysis of conversations is performed, then accuracy of information extraction can be maintained, but time consumption and productivity decrease significantly
Solution Approach 1:
The patent introduces an automated analysis system that acts as an intermediary between raw conversation data and actionable insights. The system includes modules for speech-to-text conversion, natural language processing, entity recognition, and correlation analysis, which collectively automate the information extraction process while maintaining accuracy through multiple processing stages and validation mechanisms.
2Productivity
If automated analysis systems are implemented, then productivity and real-time processing improve, but system complexity increases
Solution Approach 1:
The patent divides the automated analysis system into distinct functional modules: audio input module, speech-to-text conversion module, natural language processing module, entity recognition module, correlation analysis module, and output generation module. Each module performs a specific function, making the overall complex system manageable through modular design and allowing independent optimization of each component.
3Quantity of substance
If comprehensive data extraction from all conversations is performed, then quantity of information increases, but difficulty of systematic analysis increases
Solution Approach 1:
The patent transforms unstructured conversation data into structured information by applying various parameter changes: converting speech to text, identifying and categorizing entities, extracting key parameters and metrics, and organizing data into standardized formats. This systematic transformation makes large volumes of data manageable and analyzable through consistent parameters and metrics.
Data Source
AI summary
A system for analyzing audio content is disclosed. In general, the system includes a transcription module, a correlation module, and a database. The transcription module is configured to receive a plurality of audio (and video) files generated by a plurality of different sources, execute speech-to-text transcriptions in real-time based on portions of audio content included within the audio files, and generate written transcripts of such transcriptions. The correlation module is configured to receive metadata associated with each of such audio files, derive correlations between such written transcripts and metadata, and report such correlations to a user of the system (and/or conclusions and classifications based on such correlations). The database is configured to receive, record, and make accessible for searching and review the correlations generated by the correlation module.