Adaptive Speech Cancellation Algorithm

In this article, I will introduce an adaptive speech cancellation algorithm designed for speech enhancement and noise reduction. This algorithm was developed and implemented within the MATLAB environment. The adaptive speech cancellation technique serves to improve speech quality and reduce background noise interference by dynamically adjusting speech signal parameters. The algorithm automatically adapts the amplitude and phase characteristics of speech signals based on the correlation between input speech and background noise signals, achieving optimal cancellation performance. Through MATLAB implementation, we can effectively utilize built-in functions like adaptive filters (e.g., LMS or RLS algorithms), spectral analysis tools, and real-time processing capabilities to prototype and validate the algorithm. This approach enables clearer perception of subtle details in speech signals while minimizing background noise contamination. The MATLAB development environment provides comprehensive toolboxes and functions—such as signal processing toolbox functions for FFT analysis, filter design, and spectral subtraction—that facilitate efficient algorithm development and experimental validation, which is why we selected this platform for our research and implementation.