Content-Aware Audio Graph Switching for Silent Frame Processing
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Solution Overview
Problem
Conventional audio processing systems process all audio data through the same graph regardless of content, leading to unnecessary complexity and power consumption, especially when dealing with silent frames.
Innovation Solution
Implementing a digital signal processor (DSP) that dynamically selects between a light graph for silent frames and a full graph for audible frames, generating comfort noise for silent frames to reduce processing complexity and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If all audio data is processed through the same full graph regardless of content, then processing completeness is maintained, but power consumption and computational complexity increase unnecessarily
Solution Approach 1:
The system dynamically switches between a full graph and a light graph based on audio content detection. When silence is detected, the system transitions from the full graph to the light graph, adapting the processing complexity to match the actual content requirements. This dynamic adjustment resolves the contradiction by reducing power consumption and complexity during silent periods while maintaining full processing capability when needed.
Solution Approach 2:
The system changes the processing parameter (graph complexity) based on the detected audio state. By monitoring audio energy levels and switching between different graph configurations (full vs. light), the system optimizes power consumption without compromising processing quality when audio content is present. This parameter change approach allows the system to operate efficiently across different audio conditions.
2Use of energy by moving object
If a light graph is used for silent frames, then power consumption is reduced, but processing of actual audio content may be insufficient
Solution Approach 1:
The system dynamically adjusts the processing graph based on real-time audio content detection. When silence is detected, the light graph is used to save power; when audio content is detected, the system switches back to the full graph to ensure reliable processing. This dynamic switching mechanism resolves the contradiction by maintaining processing reliability when needed while reducing power consumption during silent periods.
Solution Approach 2:
The system uses feedback from audio energy detection to control graph selection. The detector continuously monitors audio frames and provides feedback about the presence or absence of audio content. Based on this feedback, the system intelligently switches between full and light graphs, ensuring that processing reliability is maintained when audio is present while achieving power savings during silence.
3Productivity
If comfort noise is generated and processed through the light graph, then computational efficiency improves, but audio quality may be affected
Solution Approach 1:
The system applies partial processing action by using the light graph specifically for comfort noise during silent frames, rather than applying full processing to all audio. This partial action approach generates comfort noise efficiently during silence while maintaining audio quality when actual content is present, resolving the contradiction between processing efficiency and audio quality.
Solution Approach 2:
The system applies different processing quality levels to different audio segments. During silent frames, the light graph provides sufficient processing for comfort noise generation. During active audio frames, the full graph ensures high-quality processing. This local quality approach optimizes efficiency for comfort noise while preserving audio quality when needed.
Data Source
AI summary
Content aware audio processing includes receiving, by a digital signal processor, a frame of audio data. In response to detecting that the frame of audio data is a silent frame, the digital signal processor selects a light graph from a plurality of graphs including the light graph and a full graph. Comfort noise is generated that corresponds to the silent frame. The comfort noise frame is processed through the light graph in place of the silent frame. The light graph is dedicated for processing comfort noise frames.