Dialogue Recording Analysis for Automated Audio Error Correction
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Solution Overview
Problem
Video games, audio books, and movies face challenges with varying audio quality due to recordings made at different locations and times, leading to errors such as mispronunciations, missing words, or additional words, which prolong the quality assurance process.
Innovation Solution
A data processing apparatus and method that analyzes audio recordings by comparing text data generated from the recordings with predetermined text data, selects candidate recordings to modify audio data, and adjusts it to match the predetermined text data, using speech-to-text technology and storage circuitry to identify and correct errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If dialogue recordings are made at different locations and times, then the quantity of dialogue content increases, but the audio quality consistency deteriorates
Solution Approach 1:
The system automatically analyzes audio recordings by converting speech to text and comparing against the script, providing feedback on discrepancies such as mispronunciations, missing words, and extra words. This automated feedback loop enables quality assurance without requiring manual review of each recording, thus maintaining quality consistency across large quantities of dialogue recorded at different locations and times.
Solution Approach 2:
The quality assurance process performs self-service by automatically detecting and flagging errors in dialogue recordings through speech-to-text conversion and script comparison. The system identifies issues such as mispronunciations, missing words, and additional words without human intervention, enabling the process to service itself and maintain consistent quality across numerous recordings.
2Reliability
If manual quality assurance is performed on extensive dialogue recordings, then audio quality can be verified, but the time required for the process increases
Solution Approach 1:
The patent replaces the mechanical system of manual quality assurance with an automated computational system. Speech-to-text conversion technology and automated script comparison algorithms substitute for human reviewers, maintaining reliable quality verification while dramatically reducing the time required. The system processes recordings automatically, identifying mispronunciations, missing words, and extra words without manual intervention.
3Manufacturing precision
If extensive re-recording is performed to correct errors, then audio quality accuracy improves, but productivity decreases
Solution Approach 1:
The system performs preliminary analysis of dialogue recordings by automatically converting speech to text and comparing against the script before final production approval. This preliminary action identifies potential errors such as mispronunciations, missing words, and extra words early in the process, allowing for targeted corrections rather than extensive re-recording, thus maintaining accuracy while preserving productivity.
Data Source
AI summary
A data processing apparatus includes storage circuitry to store audio data for a plurality of respective dialogue recordings for a content and to store text data indicative of a sequence of respective words within the audio data for each of the plurality of respective dialogue recordings, analysis circuitry to compare the text data for a current dialogue recording with predetermined text data for the content and to output comparison data for the current dialogue recording, the comparison data indicative of one or more differences between the text data for the current dialogue recording and the predetermined text data, selection circuitry to select one or more candidate dialogue recordings from the plurality of respective dialogue recordings for the content in dependence upon the comparison data, and recording circuitry to modify at least a portion of the audio data for the current dialogue recording in dependence upon the audio data for one or more of the candidate dialogue recordings to obtain modified audio data and to store the modified audio data for the current dialogue recording.