Hearing Aid Voice Processing for Noise and Echo Cancellation
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Solution Overview
Problem
Existing voice input/output systems fail to effectively cancel external noise and echo in voice signals captured by internal microphones, leading to poor quality of main voice signals.
Innovation Solution
Implementing both noise cancellation and echo cancellation using adaptive filters in a voice input/output apparatus, where external noise is captured by an external microphone and echo cancellation is performed on mixed voice signals using an internal microphone, with alternating updates of filter coefficients to enhance signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If noise cancellation and echo cancellation are both performed using adaptive filters with alternating coefficient updates, then voice signal quality is improved, but device complexity increases
Solution Approach 1:
The patent divides the cancellation task into two separate adaptive filters: one for noise cancellation and one for echo cancellation. Each filter processes different aspects of the signal independently, with alternating coefficient updates. This segmentation allows each filter to specialize in one type of cancellation while avoiding the complexity of a single unified filter trying to handle both tasks simultaneously.
Solution Approach 2:
The patent implements periodic action through alternating updates of the two adaptive filter coefficients. During periods when the loudspeaker is active, the echo cancellation filter is updated while the noise cancellation filter maintains its coefficients. When the loudspeaker is inactive, the noise cancellation filter is updated. This periodic alternation prevents coefficient interference and maintains signal quality while managing computational complexity.
2Measurement precision
If alternating updates of filter coefficients are implemented, then voice recognition accuracy is improved, but processing time increases
Solution Approach 1:
The patent employs periodic action by alternating between updating the noise cancellation filter and the echo cancellation filter based on loudspeaker activity detection. This periodic update strategy ensures that each filter is updated only when conditions are favorable, preventing coefficient interference and maintaining voice recognition accuracy while optimizing processing time through conditional execution.
Solution Approach 2:
The system uses feedback from loudspeaker activity detection to control the update timing of filter coefficients. The detection unit monitors whether the loudspeaker is actively outputting sound, and this feedback information determines which filter should be updated next. This feedback mechanism ensures optimal update timing, improving voice recognition accuracy while minimizing unnecessary processing operations.
Data Source
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AI summary
By performing both noise cancellation and echo cancellation, a high-quality main voice signal is generated. A voice input/output apparatus includes a noise acquirer that is arranged toward an outside of a body of a user and acquires external noise arriving from the outside of the user, a voice output unit that accepts an input of a voice signal and outputs a voice to an ear canal of the user, a main voice acquirer that acquires a mixed voice, in which the external noise, the output voice, and a main voice of the user transmitted from a vocal cord of the user through the ear canal are mixed, and outputs a mixed voice signal, a noise canceler that processes the mixed voice signal using a noise signal based on the external noise, and an echo canceler that processes the mixed voice signal using the voice signal.