Videoconference Speech Detection for Audio-Video Synchronization
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Solution Overview
Problem
Existing videoconferencing systems face challenges with manual microphone and camera muting, leading to unwanted noise and visual distractions, and lack accurate speech detection that synchronizes audio and video data, causing delays and confusion.
Innovation Solution
A data processing system that automatically manages microphone and camera settings, filters out non-speech audio and video, and adjusts signal speeds to minimize delays, ensuring real-time communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If participants manually mute and un-mute microphones, then unwanted noise transmission is prevented, but operational complexity and user burden increase
Solution Approach 1:
The system automatically detects speech and controls microphone muting without user intervention. The speech detection module continuously monitors audio input and the control module automatically adjusts microphone states based on detected speech, allowing the system to serve itself rather than requiring manual user control.
Solution Approach 2:
The patent replaces manual mechanical switching (physical mute buttons) with automated electronic control. The control module uses speech detection algorithms to electronically control microphone muting, substituting the mechanical user action with an automated electronic system that detects speech patterns and adjusts audio transmission accordingly.
2Reliability
If speech detection is implemented to filter audio, then communication clarity is improved, but processing time and system complexity increase
Solution Approach 1:
The system performs preliminary speech detection on audio segments before transmission. By detecting speech in advance and preparing the audio data for transmission, the system avoids last-minute processing delays and ensures that only relevant speech content is transmitted, improving both clarity and timing efficiency.
Solution Approach 2:
The speech detection system processes audio at appropriate granularities, applying detection to relevant time segments rather than continuous full-bandwidth processing. This partial processing approach maintains communication clarity by detecting speech presence while reducing overall processing time and computational load compared to exhaustive analysis.
3Speed
If audio and video data are transmitted simultaneously, then real-time communication is maintained, but synchronization delays occur due to processing variations
Solution Approach 1:
The system uses timestamp feedback from recorded audio and video data to detect synchronization status. The control module receives timing information from both audio and video streams, compares their synchronization state, and adjusts transmission timing accordingly to maintain proper alignment between audio and video content.
Solution Approach 2:
The patent implements dynamic adjustment of data transmission timing based on detected synchronization needs. Rather than fixed transmission schedules, the system dynamically modifies the timing of audio and video data transmission to compensate for processing variations, maintaining synchronization while preserving real-time communication capabilities.
Data Source
AI summary
Systems, methods, and media are provided for processing participant data in a videoconference. The method includes recording an audio signal with a microphone associated with a participant of the conference and determining if the audio signal includes speech produced by the participant using a speech detection module. The method also includes determining if a time delay exists between initiation of the speech and the determination that the audio signal includes the speech produced by the participant. The method further includes adjusting a first speed of the audio signal to an adjusted first speed if the time delay is determined to exist and outputting the audio signal at the adjusted first speed.