No abstract

No abstract

This paper presents a method of headphone/earphone equalization based upon deconvolution of the headphone impulse response from other acoustic filters in the processing chain. The methods presented are thus applicable to areas such as spatial audio, where input signals are processed with binaural impulse responses. The extraction of low order from higher order acoustic impulse responses is justified based upon an application of the theory pertaining to the clustering of the zeros of random coefficient polynomials about the unit circle. An argument is presented supporting the applicability of this theory to acoustic impulse responses. Such an equalization method guarantees a considerable reduction in computational effort over traditional separate compensating filters. A comparison is presented of the implementation of the equalization using the homomorphic method and least squares method with and without regularization to a traditional separate least squares inverse filter. The proposed approach is shown to have a performance comparable to a separate least squares designed compensator, often giving superior performance despite a large reduction in complexity.

We investigated the impact of exploratory head movements on sound localization accuracy using real and virtual 5.1 loudspeaker arrays. Head orientation data in the horizontal plane was provided either by the Microsoft Kinect face-tracking or Oculus Rift's built-in Inertial Measurement Unit (IMU) which resulted in significantly different precision and accuracy of measurements. In both cases, results suggest improvements in virtual source localization accuracy in the front and rear quadrants.

In this paper acoustic responses are examined with respect to the locations of their zeros or roots. This information is then used to inform an analysis of the pitfalls of the most common method of minimum phase approximation and the use of minimum phase versions of acoustic impulse responses. Acoustic polynomials can be shown to inherently have zeros on or very near the unit circle which can cause large errors in the minimum phase calculation.