Conference Audio Stream Filtering for Sensitive Speech Removal
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Solution Overview
Problem
Conventional conferencing technologies lack the capability to automatically detect and modify audio streams to prevent exposure of sensitive topics or undesirable language during conferences, leading to potential disclosure of confidential information or disruption by inappropriate speech.
Innovation Solution
Implementing audio stream modification software that detects predefined sensitive topics or undesirable language in real-time and modifies the audio stream to sanitize or remove such content, using hash values for topic identification and applying filters or removal techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional conferencing technologies are used, then the conference can proceed without automatic content monitoring, but sensitive information may be exposed and undesirable language may disrupt the conference
Solution Approach 1:
The patent introduces audio stream modification software as an intermediary component between the audio input and output in the conferencing system. This software automatically detects sensitive topics and undesirable language through hash value comparison against predefined profiles, and modifies the audio stream by applying filters or removing problematic portions. This intermediary mechanism enables automatic content monitoring and sanitization without requiring complex manual review processes, thereby improving information security while maintaining manageable system complexity.
2Reliability
If audio stream modification software is implemented to detect and remove undesirable content, then information security and professionalism are enhanced, but the system complexity and processing requirements increase
Solution Approach 1:
The patent implements preliminary action by pre-defining audio profiles that contain hash values of sensitive topics and undesirable language before the conference begins. These profiles are prepared in advance and stored in the system, enabling rapid detection during the conference without requiring complex real-time analysis algorithms. The audio stream modification software compares incoming audio hash values against these pre-computed profiles, significantly reducing processing complexity while maintaining high content appropriateness detection accuracy.
3Reliability
If real-time audio stream modification is performed, then sensitive information exposure is prevented, but processing time and computational resources are consumed
Solution Approach 1:
The patent extracts only the essential features needed for content detection by converting audio streams into hash values rather than processing the entire audio data. This extraction approach focuses computational resources on generating and comparing compact hash representations, significantly reducing the computational energy required for real-time monitoring. The system extracts and compares only the critical acoustic fingerprint elements against predefined profiles, enabling efficient privacy protection with minimal energy consumption.
4Measurement precision
If audio profiles with predefined sensitive topics are used, then detection accuracy is improved, but the initial setup and configuration time increase
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing hash values of sensitive topics and undesirable language in audio profiles before conferences begin. This preparation work is done in advance, allowing the system to achieve high detection accuracy during conferences without incurring time delays. The pre-computed hash profiles enable rapid comparison and detection, eliminating the need for time-consuming real-time analysis of what constitutes sensitive content during the actual conference proceedings.
Data Source
AI summary
A portion of speech represented in an audio stream of a conference participant is removed based on a determination that the portion of the speech corresponds to language identified as undesirable. An audio stream representing speech of a user of a participant device connected to a conference is obtained. The audio stream is processed to detect that a portion of the speech corresponds to language identified as undesirable within an audio profile. A modified audio stream is produced by removing the portion of the speech from the audio stream. An output, within the conference, of the modified audio stream is then caused in place of the audio stream.