Finding Speaker Position Under Difficult Acoustic Conditions

摘要

In this paper are presented different approaches for speaker position identification that use a microphone array and known voice models. Comparison of speaker positioning is performed by using acoustic maps based on FBF and PHAT. The goal of the experiments is to find best algorithm parameters and their approbation for different types of noises. The proposed approaches allows for better results in automatic positioning under noisy conditions. It enables to identify the target speaker whose speech duration is longer than 10 s.