Voice Recognition Device with Segmented Cushion Member
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Solution Overview
Problem
Existing voice recognition devices face challenges in accurately recognizing voice inputs due to frequency absorption by soft exterior members, and reducing their thickness leads to uneven skin depression.
Innovation Solution
A voice recognition device with an exoskeleton, a cushion member, and an outer skin, where the cushion member is thinner or has zero thickness around the microphone, and elasticity compensating members are arranged to minimize voice absorption and uniform skin depression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the microphone is arranged on the inner side of the soft member, then the device structure is simple and the soft member provides cushioning, but the soft member absorbs specific frequency bands of voice input, making accurate voice recognition impossible
Solution Approach 1:
The soft member is segmented into different thickness regions: a first thickness in the voice input area and a second thickness (greater than the first) in the peripheral area. This segmentation allows the voice input area to have minimal soft member thickness for accurate voice recognition while the peripheral area maintains sufficient thickness for cushioning and aesthetic appearance.
Solution Approach 2:
The soft member is designed with non-uniform thickness, having a first thickness in the voice input area and a second thickness in the peripheral area. This local quality variation optimizes voice recognition accuracy at the microphone location while maintaining overall device aesthetics and cushioning properties in other areas.
2Reliability
If the thickness of the soft member covering the microphone is decreased or completely removed, then voice recognition accuracy is improved, but the outer skin becomes easily depressed
Solution Approach 1:
The soft member is divided into regions with different thicknesses: a thinner first thickness in the voice input area to improve voice recognition, and a thicker second thickness in the peripheral area to provide structural support and prevent outer skin depression. This segmentation resolves the contradiction between voice recognition accuracy and structural strength.
Solution Approach 2:
The soft member exhibits local quality variation with different thicknesses in different areas. The voice input area has reduced thickness for optimal voice capture, while the peripheral area maintains greater thickness to prevent depression of the outer skin, thus balancing acoustic performance with structural integrity.
3Reliability
If the cushion member is made thinner in the voice input area for accurate voice recognition, then the likelihood of outer skin depression becomes uneven, but making it uniformly thin causes aesthetic issues and structural weakness
Solution Approach 1:
The cushion member is segmented into a voice input area with first thickness and a peripheral area with second thickness. This segmentation creates uneven depression characteristics that are intentional: minimal depression in the voice input area for accurate voice recognition and controlled depression in the peripheral area for aesthetic appearance and structural support.
Solution Approach 2:
The cushion member is designed with spatially varying thickness, having a first thickness in the voice input area and a second thickness in the peripheral area. This local quality differentiation ensures that the outer skin depression characteristics match the intended functional and aesthetic requirements of each region.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This configuration allows for accurate voice recognition and uniform skin depression, ensuring the device functions effectively without noticeable cavity presence.
Implementation Method 1
a specific frequency band of the voice input from the user is absorbed by the soft member
Implementation Method 2
an elasticity compensating member that is extended from the exoskeleton to the outer skin and is less compressed and deformed than the cushion member is arranged
Data Source
AI summary
A technique capable of accurately recognizing a voice input from a user and to uniform likelihood of depression of an outer skin is provided. A voice recognition device P includes an exoskeleton 5, a cushion member 6 that has elasticity and covers the exoskeleton 5, an outer skin 7 that covers the cushion member 6, a microphone 3 fixed to the exoskeleton 5, and a voice recognition unit 4 that recognizes a voice obtained by the microphone 3. In a voice input area 11, which is on an outer side of the microphone 3, the cushion member 6 has zero thickness. In a position in the vicinity of the microphone 3 that does not overlap the microphone 3, spring members 13 that are extended from the exoskeleton 5 to the outer skin 7 and are less compressed and deformed than the cushion member 6 are arranged.