Audio Device DSP and Neural Network Power Management
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Solution Overview
Problem
Audio devices face inefficiencies in battery life and resource usage due to continuous operation of resource-intensive voice-enhancement processing modes, especially when not needed, such as in environments without wind or speakers.
Innovation Solution
Implementing selective activation and deactivation of digital signal processors (DSPs) and neural networks based on environmental conditions detected by the device or communicated to companion devices, allowing for mode-based and capability-based audio processing to conserve power and resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If voice-enhancement processing modes operate continuously, then audio quality is maintained, but battery life deteriorates
Solution Approach 1:
The system dynamically adjusts the operation state of DSPs and neural networks based on real-time environmental conditions. When wind or speaker presence is detected, processing modes are activated; when not detected, they are deactivated. This dynamic adaptation resolves the contradiction by making audio processing reliability conditional on actual environmental needs rather than continuous operation.
Solution Approach 2:
The system changes operational parameters (processing mode activation status) based on environmental parameter detection (wind speed, speaker presence). By monitoring environmental parameters and adjusting processing parameters accordingly, the system maintains audio quality only when necessary, thereby extending battery life.
2Productivity
If resource-intensive processing modes are activated continuously, then audio processing capability is improved, but resource usage deteriorates
Solution Approach 1:
Instead of continuous processing, the system employs periodic environmental assessment followed by conditional processing activation. The environmental condition detector periodically evaluates conditions, and processing modes are activated only during periods when environmental conditions warrant enhancement, creating a periodic rather than continuous operation pattern that reduces resource usage.
Solution Approach 2:
The system performs self-assessment of environmental conditions and autonomously decides when to activate or deactivate processing modes without external intervention. This self-service mechanism ensures processing capability is maintained only when environmentally necessary, optimizing resource usage while preserving audio processing effectiveness.
3Adaptability or versatility
If environmental condition detection is implemented, then selective processing activation is enabled, but device complexity increases
Solution Approach 1:
The system segments the audio processing function into multiple independent digital signal processors and neural networks, each capable of being independently activated or deactivated based on environmental conditions. This segmentation enables selective processing activation without requiring a complete system redesign, managing complexity through modular organization.
Solution Approach 2:
The environmental condition detector serves multiple functions: detecting wind presence, detecting speaker presence, and providing input for processing mode decisions. By making the detection system multi-functional, the patent reduces overall device complexity while still enabling selective processing activation through a single versatile detection component.
Data Source
AI summary
Implementations of the subject technology provide systems and methods for providing environment-based audio processing for audio devices. Environment-based audio processing may include identifying an environmental condition in a physical environment of an audio device, and deactivating one or more digital signal processors and/or neural networks based on the environmental condition.