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Perceptually Similar Orthogonal Sounds and Applications to Multichannel Acoustic Echo Canceling
In recent years, people that are interested in full-duplexed, multichannel sounds for telepresence services have realized that the acoustic echo cancellation (AEC) problem is mathematically ill-conditioned. To regularize the problem, it is known that signals in multiple channels must be decorrelated. In this paper, we propose to utilize decorrelated background sounds for solving the AEC problem. Methods are presented to generate arbitrarily many orthogonal but perceptually similar copies from a mono sound, and their effectiveness in 2-channel and 5-channel AEC is evaluated in simulations.
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