Adaptive Volume Control for Voice Conversations
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Solution Overview
Problem
Current mobile phone systems lack intelligent volume adjustment solutions for voice conversations, which are distinct from music playing scenes, leading to suboptimal user experience due to inconsistent noise levels and lack of adaptive volume control.
Innovation Solution
A method and terminal that collect sound data during voice conversations, adjusting the volume of downlink voice data based on the volume parameters of background noise and uplink voice data, using multiple microphones to differentiate between noise levels and adjust accordingly, triggering visual or auditory cues for user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual volume adjustment is used based on user subjective feeling, then the system is simple and easy to operate, but the volume adjustment is not intelligent and does not adapt to different noise environments
Solution Approach 1:
The system automatically detects ambient noise levels and adjusts volume without requiring user intervention. The terminal device performs self-service by using its microphone to detect noise and the processor to automatically adjust volume parameters, eliminating the need for manual user adjustment while adapting to different environments.
Solution Approach 2:
The system establishes a feedback loop where the microphone continuously monitors ambient noise levels, the processor analyzes this feedback information, and automatically adjusts volume parameters accordingly. This closed-loop feedback mechanism enables intelligent adaptation to changing noise environments while maintaining system simplicity.
2Reliability
If volume is increased to overcome ambient noise, then the user can hear clearly in noisy environments, but the volume becomes excessively large in quiet environments causing discomfort
Solution Approach 1:
The system dynamically adjusts volume parameters based on real-time ambient noise detection. Instead of using a fixed volume level, the processor continuously adapts the volume to match current environmental conditions, ensuring clear communication in noisy areas while preventing excessive volume in quiet areas.
Solution Approach 2:
The system changes the volume parameter based on detected ambient noise levels. The processor monitors noise characteristics and adjusts the audio output parameter accordingly, transforming the static volume setting into a dynamic parameter that adapts to environmental conditions to maintain clear communication without causing discomfort.
3Adaptability or versatility
If ambient noise is periodically sampled and volume is adjusted in response, then the system adapts to noise changes, but the response time may be delayed and user experience affected
Solution Approach 1:
The system implements periodic sampling of ambient noise at predetermined time intervals. The processor collects noise data at regular intervals and adjusts volume parameters based on these periodic measurements, providing a balance between noise adaptation and response timing.
Solution Approach 2:
The system performs preliminary noise detection and analysis before volume adjustment is needed. By continuously monitoring and pre-processing noise data during the voice conversation, the system is prepared to make immediate volume adjustments when necessary, reducing perceived response delay.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables real-time, adaptive volume adjustment, improving user experience by ensuring clear communication in varying environments and maintaining optimal audio quality during voice conversations.
Implementation Method 1
a microphone is configured to collect sound data during a voice conversation. The sound data includes uplink voice data and background noise
Data Source
Figure 1~2a
Figure 2b~3
Figure 4a~4b
AI summary
Embodiments of this application relate to the field of terminal technologies, and provide a volume adjustment method and a terminal, to adaptively adjust a volume during a voice conversation, and improve user experience. A specific solution is as follows: A terminal collects sound data during a voice conversation, where the sound data includes uplink voice data and background noise; and the terminal adjusts, when receiving downlink voice data, a volume of the downlink voice data based on the sound data. The embodiments of this application are used to adjust a volume.