  The capture and reproduction of spatial audio is becoming increasingly
popular, with the mushrooming of applications in teleconferencing,
entertainment and virtual reality. Many binaural reproduction methods have been
developed and studied extensively for spherical and other specially designed
arrays. However, the recent increased popularity of wearable and mobile arrays
requires the development of binaural reproduction methods for these arrays. One
such method is binaural signal matching (BSM). However, to date this method has
only been investigated with fixed matched filters designed for long audio
recordings. With the aim of making the BSM method more adaptive to dynamic
environments, this paper analyzes BSM with a parameterized sound-field in the
time-frequency domain. The paper presents results of implementing the BSM
method on a sound-field that was decomposed into its direct and reverberant
components, and compares this implementation with the BSM computed for the
entire sound-field, to compare performance for binaural reproduction of
reverberant speech in a simulated environment.
