Foldable Microphone Control for Form-Change Noise Reduction
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Solution Overview
Problem
Transformable electronic devices, such as foldable, rollable, or slidable types, experience noise issues due to mechanical impact sounds during form changes, which are inadvertently recorded and included in audio data.
Innovation Solution
The electronic device identifies noise patterns associated with form changes and applies noise reduction processing to provide noise-reduced audio data to applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If transformable electronic devices are designed with movable structures (foldable, rollable, slidable), then device versatility and form factor flexibility are improved, but mechanical impact noise is generated during form changes that degrades audio quality
Solution Approach 1:
The system performs preliminary detection of form change events using sensors (accelerometer, gyro sensor, proximity sensor) before the noise affects audio recording. When a form change is detected, the system proactively identifies noise patterns and applies noise reduction processing to subsequent audio data, preventing the mechanical impact noise from degrading audio quality.
Solution Approach 2:
The patent converts the harmful mechanical impact noise into a useful signal by detecting the noise pattern caused by form changes. The system uses the noise itself as an indicator to trigger noise reduction processing, thereby transforming the harmful noise into a control signal that improves overall audio quality.
2Reliability
If noise reduction processing is applied to audio data, then audio quality is improved, but processing time and computational resources are increased
Solution Approach 1:
The system performs preliminary detection of form change events using sensors before the noise affects audio recording. When a form change is detected, the system proactively identifies noise patterns and applies noise reduction processing to subsequent audio data, preventing the mechanical impact noise from degrading audio quality.
Solution Approach 2:
The patent extracts only the relevant noise components from the audio data by identifying noise patterns associated with form changes. Instead of applying comprehensive noise reduction to entire audio streams, the system selectively processes only the portions contaminated by mechanical impact noise, thereby reducing computational overhead while maintaining audio quality.
Data Source
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Figure 3A
AI summary
An electronic device includes a first housing, a second housing connected to at least a portion of the first housing and movable with respect to the first housing, at least one display coupled with at least one of the first housing or the second housing, at least one microphone, at least one sensor and at least one processor. The at least one processor is configured to: obtain first audio data using the at least one microphone; identify that a form of the electronic device is changed according to relative movement of the first housing and the second housing, using the at least one sensor while the first audio data is obtained, identify noise data based on identifying that the form of the electronic device is changed, and obtain second audio data from the first audio data based on the identified noise data. The second audio data may include data in which at least a portion of noise, which is generated based on a change of the form of the electronic device and included in the first audio data, is reduced.