Multi-Position Voice Enhancement for Noise and Speaker Interference
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Solution Overview
Problem
Voice signals are often degraded by environmental noise and interference from other voices, leading to poor call quality in communication scenarios.
Innovation Solution
A method and system that enhance voice signals by processing signals collected from different positions using adaptive differential operations and coefficients to isolate and enhance the target voice, employing techniques such as differential operations, adaptive filtering, and regression analysis to improve signal quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If voice signals are collected from multiple positions and processed using adaptive differential operations, then voice quality is improved, but device complexity increases
Solution Approach 1:
The voice signal is segmented into multiple components based on different spatial positions. Multiple microphones are positioned at different locations to capture separate signal segments, which are then processed independently through adaptive differential operations to isolate the target voice from noise and interference.
Solution Approach 2:
The system employs adaptive differential operations with dynamically adjusted coefficients. The adaptive parameters are updated in real-time based on the statistical characteristics of the collected signals, allowing the processing algorithm to adapt to changing acoustic environments and optimize voice quality dynamically.
2Manufacturing precision
If adaptive differential operations are applied to separate target voice from noise, then signal purity is improved, but computational requirements increase
Solution Approach 1:
The system changes parameters by computing adaptive differential coefficients based on statistical characteristics of the signals. These coefficients are calculated from the collected multi-position signals and used to transform the original signals into enhanced voice output, achieving noise separation through parameter optimization rather than exhaustive computational search.
3Manufacturing precision
If multiple coefficients are determined through complex processing operations, then voice enhancement effectiveness is improved, but processing time increases
Solution Approach 1:
The system performs preliminary action by pre-calculating adaptive parameters and differential coefficients from the collected signals before final voice enhancement. The statistical characteristics are analyzed in advance to determine optimal processing parameters, which are then applied to enhance the voice signal efficiently without requiring real-time iterative computation during the enhancement phase.
Data Source
AI summary
The present disclosure provides a method for voice enhancement, including: obtaining a first signal and a second signal of a target voice, the first signal being a signal of the target voice collected based on a first position, and the second signal being a signal of the target voice collected based on a second position; determining a first coefficient by processing, based on a position of the target voice, the first position, and the second position, the first signal and the second signal; determining, based on the first signal and the second signal, a plurality of parameters related to a plurality of sound source directions; determining, based on the plurality of parameters and the position of the target voice, a second coefficient; and obtaining a voice-enhanced first output voice signal corresponding to the target voice by processing the first signal and/or the second signal.