Mute-State Voice Detection for Multi-Person Call Microphones
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Solution Overview
Problem
In multi-person voice calls, users often forget to turn on their microphones after muting them, leading to inefficient human-computer interaction as they cannot be heard by others and need to repeat their speech, affecting communication efficiency and user experience.
Innovation Solution
An audio signal processing method that analyzes audio signals using gain parameters on multiple bands to detect the presence of a target voice, prompting users to disable the mute state when speech is detected, while avoiding prompts for non-speech sounds or noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system continuously monitors audio signals to detect speech and prompt users to enable microphones, then communication efficiency is improved, but device complexity and energy consumption increase
Solution Approach 1:
The patent extracts only the essential monitoring function needed to detect speech presence, separating it from full audio processing. The system monitors audio signals for speech detection purposes only, rather than processing all audio data, thereby reducing system complexity while maintaining communication efficiency improvement
Solution Approach 2:
The system performs preliminary speech detection monitoring continuously in the background before users forget to enable their microphones. This preliminary action allows the system to detect the need for a prompt in advance, improving communication efficiency without requiring complex real-time processing when issues arise
2Ease of operation
If the system monitors audio signals in mute state to detect speech, then user experience is improved, but energy consumption increases
Solution Approach 1:
The system uses the existing audio signal already being captured by the microphone in mute state for self-service monitoring. Rather than requiring additional hardware or signals, the system leverages the existing audio input to detect speech presence, improving user experience while minimizing additional energy consumption
Solution Approach 2:
The system performs partial monitoring by detecting only the presence or absence of speech characteristics in the audio signal, rather than analyzing full audio content. This partial action approach provides sufficient information to improve user experience while consuming minimal energy compared to complete audio processing
3Productivity
If the system provides prompt messages to users, then interaction efficiency is improved, but information loss occurs when users don't notice prompts
Solution Approach 1:
The system implements feedback by sending prompt messages to users when speech is detected in mute state. This feedback loop informs users of their microphone status, improving interaction efficiency. The prompt serves as immediate feedback that allows users to correct the mute state and resume communication
Data Source
AI summary
Herein are disclosed an audio signal processing method and apparatus, an electronic device, and a storage medium. The method includes: obtaining an audio signal acquired by an application while an account logging into the application is in a microphone mute state in a multi-person voice call; obtaining gain parameters, for each of a plurality of audio frames in the audio signal, respectively on a plurality of bands in a first band range; and outputting a prompt message responsive to a determination, based on the gain parameters, that a target voice is contained in the audio signal, the prompt message providing a prompt to disable the microphone mute state of the account.