Conference Audio Keyword Autocorrection for Mispronunciation Clarity
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Solution Overview
Problem
The mispronunciation of keywords during audio/videoconferences can be distracting and irritating, particularly in globally distributed communication settings, where correcting technical concerns is difficult.
Innovation Solution
A method and system that automatically corrects mispronounced keywords by identifying them at a server using a database of correct pronunciations, generating corrected audio portions, and transmitting these corrections to participant devices, either through re-encoding at the server or updating at the receiver end.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mispronunciations are corrected in real-time during conferences, then communication clarity is improved, but system complexity increases due to automatic detection and correction mechanisms
Solution Approach 1:
The patent introduces an intermediary system (automatic correction mechanism) that mediates between the speaker's mispronunciation and the listener's understanding. This intermediary detects mispronunciations, retrieves correct pronunciations from a database, and synthesizes corrected audio segments, thereby resolving the contradiction by adding a layer of complexity that ultimately improves pronunciation accuracy without requiring manual intervention.
Solution Approach 2:
The patent replaces manual correction mechanisms (human intervenors physically adjusting or repeating words) with an automated electronic system that uses speech recognition, database querying, and audio synthesis. This substitution of mechanical/manual processes with automated electronic processes improves measurement precision (pronunciation accuracy) while the complexity is managed through software automation rather than physical systems.
2Object-affected harmful factors
If automatic correction systems are implemented, then user irritation is reduced, but processing time increases due to real-time analysis and correction generation
Solution Approach 1:
The system performs preliminary actions by pre-loading pronunciation databases and maintaining ready-access correction data during conferences. When a mispronunciation is detected, the correction can be rapidly generated because the foundational data structures and correction algorithms are already in place, reducing the actual processing time required while still eliminating user irritation from mispronunciations.
Solution Approach 2:
The system prioritizes rapid processing by skipping non-critical analysis steps and focusing only on detecting and correcting mispronunciations. By rushing through the essential correction pipeline (detect → retrieve → synthesize → output) and minimizing delays, the system reduces processing time while still effectively reducing user irritation from mispronounced keywords.
3Measurement precision
If comprehensive keyword databases are used for correction, then pronunciation accuracy is improved, but information processing load increases
Solution Approach 1:
The system applies local quality by focusing computational resources only on specific portions of audio that contain mispronounced keywords, rather than processing entire audio streams uniformly. The comprehensive database is queried only when mispronunciations are detected, and corrections are applied locally to specific audio segments, thereby improving pronunciation accuracy while minimizing overall processing load by concentrating computational effort where it is most needed.
Data Source
AI summary
The present disclosure relates to automatically correcting mispronounced keywords during a conference session. More particularly, the present invention provides methods and systems for automatically correcting audio data generated from audio input having indications of mispronounced keywords during an audio/videoconferencing system. In some embodiments, the process of automatically correcting the audio data may require a re-encoding process of the audio data at the conference server. In alternative embodiments, the process may require updating the audio data at the receiver end of the conferencing system.