Auditory Filter

Auditory filters are mathematical models mimicking the frequency analysis performed by the human ear, crucial for various signal processing applications. Current research focuses on developing flexible and efficient filter designs, including generalized auditory filters with adjustable parameters for precise control over frequency selectivity and time delay, often employing rational exponents for continuous control. These advancements are impacting diverse fields, from enhancing deepfake audio detection through improved spectrogram analysis to improving speaker localization algorithms in binaural systems by incorporating biologically-inspired processing stages. The ability to precisely tailor filter characteristics offers significant improvements in accuracy and efficiency across numerous applications.