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Generalizing DoA estimation across diverse microphone arrays could revolutionize audio processing in mobile and dynamic environments.
A training-free dynamic clustering method significantly improves long speech separation performance, especially in sparse scenarios with unknown speaker counts.
Achieving a mean angular error of just 11.3 degrees in head orientation estimation could revolutionize applications in smart environments and driver monitoring.
