Bone-Conduction and Air-Conduction Audio Restoration for Headsets
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Solution Overview
Problem
Audio signals collected by true wireless stereo headsets often lack medium- and high-frequency components due to environmental factors and wearing posture, affecting sound quality and user experience.
Innovation Solution
An audio signal restoration method utilizing a bone conduction microphone, a first air conduction microphone, and at least one second air conduction microphone to enhance signal quality by determining low-frequency features, performing harmonic generation, and using fusion coefficients to combine signals for full-frequency restoration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a traditional air conduction microphone is used to collect audio signals, then medium- and high-frequency components can be captured, but environmental noise and interference from wearing posture significantly degrade signal quality
Solution Approach 1:
The patent combines bone conduction microphone signals with air conduction microphone signals through a multi-stage processing framework. The bone conduction microphone captures low-frequency features immune to environmental noise, while air conduction microphones capture medium- and high-frequency components. These signals are merged through feature extraction, harmonic generation, and spectral fusion to produce a composite audio signal that overcomes the limitations of either microphone type alone.
Solution Approach 2:
The patent introduces an intermediate processing stage that extracts low-frequency features from bone conduction signals and uses them as a reference for harmonic generation. This intermediate representation serves as a mediator that guides the reconstruction of missing frequency components in the air conduction signals, enabling noise-robust audio restoration without directly combining raw microphone outputs.
2Measurement precision
If bone conduction microphone is used to collect audio signals, then environmental noise can be shielded and low-frequency features can be accurately extracted, but medium- and high-frequency signal components are missing
Solution Approach 1:
The patent applies harmonic generation techniques that synthesize missing medium- and high-frequency components by non-linearly processing the extracted low-frequency features. This virtual vibration synthesis creates realistic harmonic content that mimics the physical vibration patterns of speech and audio signals, effectively reconstructing frequency components that are absent from the bone conduction microphone output.
Solution Approach 2:
The patent uses the clean low-frequency features extracted from bone conduction signals as a template or copy reference to guide the reconstruction of corresponding frequency components in the final audio output. By copying the temporal and spectral characteristics from the reliable low-frequency bone conduction signal, the system restores the complete frequency spectrum without introducing environmental noise.
3Measurement precision
If multiple microphones are used to restore full-frequency audio signals, then audio quality and definition can be improved, but device complexity increases
Solution Approach 1:
The patent segments the audio signal processing into distinct frequency bands, with bone conduction microphones handling low-frequency extraction and air conduction microphones handling medium- and high-frequency capture. This segmentation allows each microphone type to operate in its optimal frequency range, simplifying the overall system design compared to using multiple microphones of the same type across the entire frequency spectrum.
Solution Approach 2:
The patent creates a universal audio restoration framework that can process signals from different microphone types (bone conduction and air conduction) through a common processing pipeline. The feature extraction, harmonic generation, and spectral fusion modules are designed to be multi-functional, handling both microphone types uniformly and reducing the need for separate processing paths, thereby managing system complexity.
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
Improves the quality and definition of audio signals by restoring missing frequency components, enhancing user experience in headset usage scenarios.
Implementation Method 1
a bone conduction microphone, configured to collect a bone conduction audio signal through bone vibration
Implementation Method 2
a first air conduction microphone, configured to collect a first air conduction audio signal, and at least one second air conduction microphone configured to collect a second air conduction audio signal
Data Source
AI summary
This application discloses an audio signal restoration method and apparatus, a device, a storage medium, and a computer program, and pertains to the field of audio processing technologies. The method is applied to a headset, and the method includes determining a low-frequency feature of a bone conduction audio signal based on the bone conduction audio signal collected by a bone conduction microphone. The method also includes determining a restored low-frequency signal based on the low-frequency feature and a first air conduction audio signal collected by a first air conduction microphone, and determining an acoustic feature based on the restored low-frequency signal and the low-frequency feature. Furthermore, the method includes determining a target audio signal based on the restored low-frequency signal, a second air conduction audio signal collected by at least one second air conduction microphone, and the acoustic feature.