Microphone Array Toolbox: Advanced Audio Processing and Source Localization

The Microphone Array Toolbox serves as a powerful framework for advanced audio processing applications, enabling key functionalities such as: simulated sound source localization through Time Difference of Arrival (TDOA) algorithms, adaptive noise suppression using beamforming techniques, and multi-channel signal enhancement. This toolbox facilitates audio capture across diverse environments through array configuration simulations, converting acoustic signals into digital data streams for further processing. The processed signals support critical applications including: speech recognition systems requiring clean audio input, real-time audio processing pipelines, and voice enhancement algorithms like spectral subtraction. Implementation typically involves configuring array geometries (linear/circular arrays), applying calibration routines, and processing signals through phased array algorithms. Key functions may include delay-and-sum beamforming for directional filtering, MUSIC algorithms for high-resolution DOA estimation, and LMS-based adaptive filters for noise cancellation. Consequently, this toolbox provides essential utilities for improved audio data handling, enabling higher accuracy in acoustic scene analysis and superior output quality in audio applications.