Group Sound Enhancement System for Networked Conference Audio
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Solution Overview
Problem
Conventional network conference systems fail to effectively reproduce group sounds, such as clapping or cheering, allowing only a few participants' sounds to be heard, which diminishes the group experience in large events.
Innovation Solution
A group sound enhancement system (GSES) that analyzes microphone inputs from attendees, detects group sounds, and reproduces them across all participants if the detected sound exceeds a predefined threshold, creating a more immersive experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional conference systems transmit only individual participant sounds, then the system complexity remains low, but the group sound experience deteriorates
Solution Approach 1:
The patent merges individual sound detections from multiple participants into a unified group sound experience. When multiple participants detect the same sound type (clapping, cheering, etc.) within a threshold time window, the system combines these individual detections into a single enhanced group sound output that simulates the collective response of all attendees, thereby improving group sound experience without requiring complex individual processing for each participant.
Solution Approach 2:
The system creates synthetic copies of group sounds by generating simulated audio representations of collective participant reactions. Instead of transmitting actual individual sounds, the system produces synthesized group sound effects that replicate the auditory experience of a large audience responding together, enhancing the group sound experience while maintaining manageable system complexity through standardized sound generation templates.
2Reliability
If the system reproduces group sounds for all participants, then the group experience improves, but the network bandwidth and processing requirements increase
Solution Approach 1:
The system performs preliminary detection and aggregation of individual sound reactions before generating the enhanced group sound output. By first collecting and analyzing individual participant responses, then determining whether they constitute a valid group sound (based on type matching and temporal proximity), the system prepares the group sound data in advance, reducing the need for complex real-time processing and bandwidth consumption during actual reproduction.
Solution Approach 2:
The system applies different processing quality levels to different sound scenarios. For individual isolated sounds, minimal processing is applied. For grouped simultaneous sounds meeting the threshold criteria, enhanced group sound processing is activated. This localized quality adjustment ensures high group experience for genuine group reactions while conserving network bandwidth and processing resources for scenarios that don't qualify as group sounds.
3Loss of energy
If the system detects and reproduces only threshold-exceeding group sounds, then network bandwidth is conserved, but the detection precision may worsen
Solution Approach 1:
The system dynamically adjusts the threshold for group sound detection based on contextual factors such as the total number of participants, the type of event, and the pattern of individual sound detections. Rather than using a fixed threshold, the system adapts its sensitivity to group sounds, allowing it to detect genuine group reactions even when individual contributions are subtle, thereby maintaining detection precision while still conserving network bandwidth by filtering out non-significant sounds.
Data Source
AI summary
Systems and methods for enhancing group sound during a networked conference are provided. A computer device accesses audio data, detects a first group sound in the audio data, and generates a first group sound identifier that identifies the first group sound. The computer device is one of a plurality of computer devices connected to the networked conference. The computer device transmits the first group sound identifier to a network server and receives a control signal from the network server. The network server receives multiple group sound identifiers from the plurality of computer devices and generates the control signal based on the multiple group sound identifiers. The multiple group sound identifiers include the first group sound identifier and a second group identifier. The control signal includes the second group sound identifier. The computer device reproduces a second group sound based on the second group sound identifier.