Speech Signal Separation Using NLMS Algorithm

In this program, the NLMS algorithm is implemented to separate two-channel speech signals. The core implementation adopts the mathematical model of an echo canceller, integrating processed speech signals into the system. The algorithm continuously adapts filter coefficients using normalized step sizes to minimize mean square error between reference and desired signals, ensuring stable convergence even with varying input power levels. This approach yields remarkable results by effectively isolating individual speech signals, enabling clear and distinct audio output. Beyond basic speech processing, this technique represents an advanced solution with practical applications in real-world scenarios. The program includes key functions such as adaptive filter initialization, real-time coefficient updates using NLMS rules, and signal reconstruction modules. We are confident that utilizing this program will enhance speech separation quality and boost operational efficiency in audio processing tasks.