{'fraction_non_alphanumeric': 0.008152173913043478, 'fraction_numerical': 0.0, 'mean_word_length': 5.353448275862069, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Swarm Intelligence based Adaptation in Acoustic Echo Cancellation

The echo and nonlinearity in voice conversations degrade the quality of voice in wired and wireless phone communication. The effect of nonlinear distortions in the echo path can be reduced by an adaptive filter which synthesizes a pattern of the non-linearity generated by the speaker and echo path. The proven superiority of Particle Swarm Optimization in the removal of nonlinearity in any optimization problem leads the selection of PSO as optimization algorithm to update the weights of Adaptive equalizer. To reduce the nonlinearities in the echo path effectively a careful inertia weight selection is done, and performance is validated through simulation results.