Sound Source Localization

Sound Source Localization is the process of identifying the location of a sound source in a given environment. In Data Science and Artificial Intelligence, this process is achieved through the use of various techniques such as acoustic signal processing, machine learning algorithms, and deep neural networks. The goal of sound source localization is to accurately determine the direction and distance of a sound source, which can be useful in a variety of applications such as speech recognition, surveillance, and acoustic monitoring. The process involves capturing audio signals from multiple microphones and analyzing the differences in arrival time, phase, and amplitude of the sound waves to estimate the location of the sound source. This can be done using various algorithms such as Time Difference of Arrival (TDOA), Generalized Cross-Correlation (GCC), and Steered Response Power (SRP) methods.
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