Research

In this paper, we introduce a different research direction by viewing each audio channel as a node lying in a non-Euclidean space and, specifically, a graph.

This paper proposes a novel design to overcome this limitation of low-frequency range. Several aspects of the design were considered in the paper: type of enclosure, low-frequency extension, choice of transducers, and metrics for sound source assessment.

In this paper, we propose a method for binaurally reproducing a microphone recording in a virtual application that allows the user to freely translate their body further beyond the recording position. The method incorporates a mixture of near-field and far-field sources in a sparsely expanded virtual environment to maintain a perceptually accurate reproduction.

This paper presents PHALCOR (PHase ALigned CORrelation), a novel method for blind estimation of the DOA and delay of early reflections that overcomes the limitations of existing solutions. PHALCOR is based on a signal model in which the reflection signals are explicitly modeled as delayed and scaled copies of the direct sound.

Through simulations and measurements, we explore optimal values for the various processing parameters such as array size and temporal processing window size and compare the results of TDOA and PIV DOA estimation. We introduce spatial clustering of reflections as a post-processing step, which reduces the un-natural direction-of-arrival spread of late reflections at the expense of spatial distortion for consecutive reflections.

We consider the application of binaural rendering of spherical microphone array signals in this paper. We use the Real-Time Spherical Array Renderer (ReTiSAR) to analyze the frequency-dependent white-noise-gain i.e., the improvement of the signal-to-noise ratio (SNR) between a selected microphone of the array and the binaural output signals.

The spatial decomposition method (SDM) can be used to parameterize and reproduce a sound field based on measured multichannel room...

In this paper, a method for estimating the SCM of reverberant speech is proposed, based on the selection of time-frequency bins dominated by reverberation. The method is data-based and estimates the SCM for a specific acoustic scene. It is therefore applicable to realistic reverberant fields.

A common approach to overcoming the effect of reverberation in speaker localization is to identify the time-frequency (TF) bins in which the direct path is dominant, and then to use only these bins for estimation. Various direct-path dominance (DPD) tests have been proposed for identifying the direct-path bins. However, for a two-microphone binaural array, tests that do not employ averaging over TF bins seem to fail. In this paper, this anomaly is studied by comparing two DPD tests, in which only one has been designed to employ averaging over TF bins.

This paper describes a method for blind estimation of the DRR which involves fitting a beta distribution to the magnitude-squared coherence between two binaural audio signals, aggregated over time and frequency.