Multi-Sound Zone Audio Processing for Lower Voice Compute Load
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Solution Overview
Problem
The challenge of excessive computing resource occupation in multi-sound zone voice interaction, particularly in intelligent vehicle cabins, leads to voice interaction failures such as delays and complete failure due to high load conditions, compromising user experience.
Innovation Solution
A data processing method that involves obtaining user information for each sound zone and processing only audio from zones where users are present, reducing the quantity of audio data to be processed, thereby minimizing computing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multi-sound zone voice interaction is implemented to enhance intelligent cabin experience, then user experience and voice interaction functionality are improved, but computing resource occupation increases excessively
Solution Approach 1:
The patent divides the audio processing task by sound zones, processing only the audio data from zones where users are present rather than all zones uniformly. This segmentation allows the system to maintain multi-sound zone functionality while reducing overall computing resource occupation by focusing processing power only on relevant zones.
Solution Approach 2:
The patent applies partial action by processing only a subset of audio data - specifically, audio from sound zones where users are detected - rather than processing all audio data from all zones. This partial processing approach maintains necessary voice interaction functionality while avoiding excessive computing resource consumption.
2Measurement precision
If all audio data from all sound zones is processed to ensure accurate voice recognition, then voice recognition accuracy is improved, but computing resource occupation increases
Solution Approach 1:
The patent extracts and processes only the necessary audio data - specifically audio from sound zones where users are present - rather than processing all audio data. This extraction approach maintains voice recognition accuracy for active zones while reducing overall computing resource usage by excluding unnecessary zones from processing.
Solution Approach 2:
The patent applies local quality by differentiating processing based on sound zone characteristics - full processing is applied only to zones where users are present, while zones without users receive no processing. This localized approach ensures high voice recognition accuracy where needed while minimizing computing resource consumption in inactive zones.
3Productivity
If the quantity of audio data to be processed is reduced to lower computing resource occupation, then computing efficiency is improved, but voice recognition accuracy may deteriorate
Solution Approach 1:
The patent performs preliminary action by detecting user presence in sound zones before processing audio data. This preliminary detection allows the system to pre-identify which zones require processing, ensuring that voice recognition accuracy is maintained for zones with users while avoiding unnecessary processing of zones without users, thus optimizing both efficiency and accuracy.
Solution Approach 2:
The patent uses feedback from user presence detection to dynamically adjust audio processing. The system continuously monitors which sound zones contain users and adjusts processing accordingly - maintaining high voice recognition accuracy for active zones while reducing processing for inactive zones. This feedback mechanism ensures that processing efficiency improvements do not compromise accuracy in zones where it matters.
Data Source
AI summary
A data processing method and a related device are disclosed to reduce computing resource occupation in multi-sound zone interaction. The data processing method includes obtaining a plurality of pieces of audio. The plurality of pieces of audio come from a plurality of sound zones. The data processing method further includes obtaining user information of the plurality of sound zones. The user information indicates whether a user exists in the sound zone. The data processing method includes processing the plurality of pieces of audio based on the user information of the plurality of sound zones.