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Acoustic direction of arrival estimation methods allows positional information about sound sources to be transmitted over a network using minimal bandwidth. For these purposes,methods that prioritize low computational overhead and consistent accuracy under non-ideal conditions are preferred. The estimation method introduced in this paper uses a set of steered beams to estimate directional energy at sparsely distributed orientations around a spherical microphone array. By iteratively adjusting beam orientations based on the orientation of maximum energy, an accurate orientation estimate of a sound source may be produced with minimal computational cost. Incorporating conditions based on temporal smoothing and diffuse energy estimation further refines this process. Testing under simulated conditions indicates favorable accuracy under reverberation and source discrimination when compared with several other contemporary localization methods. Outcomes include an average localization error of less than 10◦ under 2 s of reverberation time (T60) and the potential to separate up to four sound sources under the same conditions. Results from testing in a laboratory environment demonstrate potential for integration into real-time frameworks. 

This paper introduces a method to estimate the direction of arrival of an acoustic signal based on finding maximum power in iteratively reduced regions of a spherical surface. A plane wave decomposition beamformer is used to produce power estimates at sparsely distributed points on the sphere. Iterating beam orientation based on the orientation of maximum energy produces accurate localization results. The method is tested using varying reverberation times, source-receiver distances, and angular separation of multiple sources and compared against a pseudo-intensity vector estimator. Results demonstrate that this method is suitable for integration into real-time telematic frameworks, especially in reverberant conditions. 

This paper proposes an efficient method to create auralizations of acoustical landmarks using a 2D ray-tracing algorithm and publicly available floor plans for a 128-channel wave field synthesis (WFS) system with 2.5D approximation. Late reverberation parameters are calculated using additional volumetric data. The approach allows the rapid sonic recreation of historical concert venues with adequate sound sources. The listeners can walk through these recreations over an extended user area (1210 sqm), and the software suite can be used to calculate room acoustical parameters for various positions directly using a binaural rendering method or via the WFS simulation. 

Spherical microphone arrays have attained considerable interest in recent years for their ability to decompose three-dimensional soundfields. This paper details real-time capabilities of a source-tracking system composed of a beamforming array and multiple lavalier microphones. Using the lavalier microphones for source identification, a particle filter can be implemented to allow independent tracking of the orientation of multiple sources simultaneously. This source identification and tracking mechanism is utilized in an immersive lab space. In conjunction with networked audiovisual equipment, the system can generate a real-time virtual representation of sound sources for a more dynamic telematic experience. 

Spherical microphone arrays have attained considerable interest in recent years for their ability to decompose three-dimensional soundfields. This paper details real-time capabilities of a source-tracking system composed of a beamforming array and multiple lavalier microphones. Using the lavalier microphones for source identification, a particle filter can be implemented to allow independent tracking of the orientation of multiple sources simultaneously. This source identification and tracking mechanism is utilized in an immersive lab space. In conjunction with networked audiovisual equipment, the system can generate a real-time virtual representation of sound sources for a more dynamic telematic experience.