Voice Recognition Output Adaptation for Ambient Noise
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Solution Overview
Problem
Users face difficulties in understanding voice recognition outputs due to ambient noise, such as conversations with others or background sounds from electronic devices, leading to repeated interactions or incomplete information retrieval.
Innovation Solution
An electronic apparatus and method that detect ambient noise and adjust the output state of voice recognition results based on noise type, including stopping, summarizing, or amplifying information, using keyword extraction and AI models to predict user responses and manage noise levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the electronic apparatus outputs voice recognition information in noisy environments, then the user can receive information, but the user cannot understand the information clearly due to ambient noise
Solution Approach 1:
The electronic apparatus dynamically adjusts the output state of voice recognition information based on real-time detection of ambient noise levels and types. The system transitions between different output modes (normal output, summary output, repetition output, or no output) according to the detected noise conditions, making the information delivery adaptive to environmental changes rather than static.
Solution Approach 2:
The system implements a feedback mechanism where the output of voice recognition information is adjusted based on detected ambient noise. The noise detection result feeds back to control the information output strategy, creating a closed-loop system that continuously adapts to environmental conditions to maintain effective communication.
2Reliability
If the electronic apparatus repeats information output in noisy environments, then the user can understand information better, but the interaction time increases
Solution Approach 1:
Instead of always repeating the entire information output when noise is detected, the system applies partial action by selectively repeating only the most important keywords or summarizing the core message. This reduces the time penalty while still ensuring the user understands the essential information.
Solution Approach 2:
The system dynamically selects the appropriate response strategy (no repetition, partial repetition, full repetition, or summary) based on the severity and type of ambient noise, optimizing the balance between information clarity and interaction efficiency for each specific situation.
3Loss of information
If the electronic apparatus outputs all voice recognition information, then the user receives complete information, but the user cannot distinguish relevant information in noisy environments
Solution Approach 1:
The system extracts and prioritizes key information from the voice recognition results. When ambient noise is detected, it separates the essential keywords or main points from the full information and outputs only those extracted elements, making it easier for users to grasp relevant information without being overwhelmed by complete but indistinct output.
Solution Approach 2:
The system applies different output qualities to different parts of the information. Instead of uniform output, it enhances the prominence of key information (through repetition or summary) while reducing or omitting less critical details, creating a differentiated information presentation that adapts to noisy environments.
Data Source
AI summary
A method for controlling an electronic apparatus is disclosed. The method for controlling an electronic apparatus includes detecting a voice input of a user; based on detecting the voice input of the user, performing voice recognition with respect to the voice input of the user; outputting information corresponding to a result of the voice recognition; identifying a type of ambient noise detected by the electronic apparatus; and changing an output state of the information corresponding to the result of the voice recognition based on the type of the ambient noise.