Electronic Device Speech Recognition with Noise-Level Selection
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Solution Overview
Problem
In environments with multiple electronic devices, speech recognition success rates are lowered due to interference from other devices, unless all devices' volume levels are reduced, which is impractical.
Innovation Solution
An electronic apparatus with a processor that identifies the optimal device for speech recognition based on noise levels, adjusts sound levels, and uses natural language processing to enhance recognition efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all electronic devices turn down their volume levels to improve speech recognition, then speech recognition success rate is improved, but device functionality and user experience deteriorate
Solution Approach 1:
The system divides the multi-device environment into distinct functional roles: one device is selected as the 'first recognition apparatus' responsible for speech recognition, while other devices serve as 'second recognition apparatuses' that maintain normal functionality. This segmentation allows speech recognition to occur in a quieter acoustic environment without requiring all devices to reduce volume.
Solution Approach 2:
The system introduces an intermediary selection mechanism that identifies which device should handle speech recognition based on acoustic conditions. This intermediary layer (the selection logic) mediates between the need for quiet recognition environment and the need for normal device operation, allowing only the recognizing device to lower volume while others maintain normal output.
2Adaptability or versatility
If multiple electronic devices operate simultaneously, then device versatility and functionality are improved, but speech recognition reliability deteriorates due to sound interference
Solution Approach 1:
The system dynamically assigns recognition roles based on real-time acoustic conditions rather than maintaining fixed device functions. Devices can switch between being the primary recognition apparatus and secondary apparatuses depending on which device creates the most favorable acoustic environment for speech recognition at any given moment.
Solution Approach 2:
The system changes the volume parameter dynamically: the first recognition apparatus lowers its volume during speech recognition to reduce interference, while second recognition apparatuses maintain normal volume levels. This selective parameter adjustment preserves overall system versatility while improving recognition reliability.
3Reliability
If a single electronic device performs speech recognition, then recognition reliability is improved by controlling volume, but system adaptability deteriorates
Solution Approach 1:
The system enables multiple devices to participate in speech recognition functionality, with each device capable of serving as the primary recognition apparatus under appropriate conditions. This universal capability across multiple devices maintains system adaptability while achieving reliable recognition through selective volume control.
Data Source
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AI summary
An electronic apparatus includes an interface configured to connect with an external apparatus, and a processor. The processor is configured to, based on a first user speech received by the electronic apparatus including a trigger word, identify a first noise level corresponding to the first user speech received by the electronic apparatus. The processor is configured to identify a first recognition apparatus among a plurality of recognition apparatuses having a highest first noise level corresponding to the first user speech. The plurality of recognition apparatuses identify the first user speech as the trigger word and include the electronic apparatus and the external apparatus. The processor is configured to perform a control operation to implement a function corresponding to a second user speech based on a second recognition apparatus as having a highest second noise level corresponding to the second user speech among the plurality of recognition apparatuses.