Acoustic Crosstalk Suppression via Multi-Mic Spatial Filtering
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Solution Overview
Problem
Existing acoustic crosstalk suppression devices in vehicles fail to effectively suppress crosstalk components from multiple speakers in a closed space, leading to poor sound quality due to the inability of a single microphone to clearly collect voices from other occupants, especially when obstacles are present.
Innovation Solution
An acoustic crosstalk suppression device with multiple microphones and filter update units that estimate the main speaker and generate suppression signals using reference signals from other microphones, dynamically adjusting the main and reference signals to enhance crosstalk suppression and improve voice recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only one microphone is disposed in front of the driver to collect the driver's voice, then the device complexity is reduced, but the crosstalk suppression capability deteriorates because the microphone cannot clearly collect voices from other occupants
Solution Approach 1:
The system divides the voice collection task among multiple microphones, each responsible for collecting voices from specific occupants. The microphone arrangement is segmented to correspond to n number of persons, with each microphone positioned to optimally collect voice from a specific seat location.
Solution Approach 2:
The system transitions from a single-point voice collection approach to a multi-dimensional spatial distribution of microphones. By arranging microphones in three-dimensional space corresponding to different occupant positions, the system can collect voice signals from multiple directions and spatial locations simultaneously.
2Measurement precision
If multiple microphones are arranged to collect voices from multiple occupants, then the crosstalk suppression capability is improved, but the device complexity increases
Solution Approach 1:
Each microphone serves multiple functions: it collects the voice of its corresponding occupant, captures crosstalk from other occupants, and provides reference signals for adaptive filtering. The same hardware infrastructure supports both voice collection and crosstalk suppression functions simultaneously.
Solution Approach 2:
The system uses the crosstalk signals captured by the microphones themselves as reference inputs for the adaptive filters. The microphones serve their own suppression needs by providing the reference signals required for generating suppression signals, eliminating the need for separate reference signal sources.
3Quantity of substance
If the microphone of the driver is used to collect both the driver's voice and other occupants' voices, then the quantity of microphones is reduced, but the voice recognition accuracy deteriorates due to mixed signals
Solution Approach 1:
The system extracts the crosstalk component from the mixed voice signal by using adaptive filters that process reference signals from other microphones. The unwanted crosstalk signals are separated and removed, leaving a clean voice signal for recognition.
Solution Approach 2:
The adaptive filter acts as an intermediary between the raw microphone signals and the final voice recognition input. It processes the reference signals from other microphones to generate suppression signals that eliminate crosstalk, mediating the interaction between multiple voice sources.
4Measurement precision
If adaptive filters are used to suppress crosstalk from other occupants, then the sound quality is improved, but the computational complexity increases
Solution Approach 1:
The system performs preliminary estimation of the main speaker position and identifies reference signals before executing the adaptive filtering process. This preliminary preparation organizes the computational tasks in an efficient sequence, reducing overall processing complexity.
Solution Approach 2:
The adaptive filters dynamically adjust their coefficients based on the estimated main speaker position and the characteristics of reference signals. The system adapts its processing in real-time according to the spatial distribution of speakers and the acoustic environment, optimizing sound quality while managing computational load.
Data Source
AI summary
An acoustic crosstalk suppression device includes a speaker estimation unit configured to estimate a main speaker based on voice signals collected by n units of microphones corresponding to n number of persons (n: an integer equal to or larger than 3); n units of filter update units each of which is configured to update a parameter of a filter configured to generate a suppression signal of a crosstalk component included in a voice signal of the main speaker; and a crosstalk suppression unit configured to suppress the crosstalk component by using a synthesis suppression signal generated by the maximum (n-1) units of filter update units corresponding to reference signals collected by the maximum (n-1) units of microphones.