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The paper addresses the estimation of the relative transfer function (RTF) using incomplete information. For example, an RTF estimate might be recognized as too inaccurate in a number of frequency bins. When these values are dropped, an incomplete RTF is obtained. The goal is then to reconstruct a complete RTF estimate, based on (1) the remaining values, and (2) the sparsity of the relative impulse...
Independent Vector Analysis is a powerful tool for estimating the broadband acoustic transfer function between multiple sources and the microphones in the frequency domain. In this work, we consider an extended IVA model which adopts the concept of pilot dependent signals. Without imposing any constraint on the de-mixing system, pilot signals depending on the target source are injected into the model...
Minimum Variance Distortionless Response (MVDR) and Minimum Mean-Squared Error (MMSE) beamformers are popular array processors for enhancing multichannel recordings of a directional source. We propose their approximate variants having the generalized sidelobe canceler structure whose performances depend purely on the blocking matrix part. No auxiliary methods such as adaptive interference canceler...
This paper proposes a modification of an auxiliary-function based algorithm for Independent Vector Analysis (AuxIVA) by applying it to a constrained set of frequency bins where the activity of (speech) signals is high. The de-mixing transform obtained by this approach is incomplete. Its completion is done through the solution of a convex optimization problem known as LASSO. The experiments with blind...
We propose a novel solution to the blind speech separation problem where the de-mixing transform is estimated only within selected frequency bins. This solution is based on Independent Vector Analysis applied to a subset of instantaneous mixtures, one per selected frequency bin. Next, two approaches are proposed to complete the transform: one based on null beamforming, and the other based on convex...
Relative impulse responses between microphones are usually long and dense due to the reverberant acoustic environment. Estimating them from short and noisy recordings poses a long-standing challenge of audio signal processing. In this paper, we apply a novel strategy based on ideas of compressed sensing. Relative transfer function (RTF) corresponding to the relative impulse response can often be estimated...
Relative transfer functions (RTF) between microphones can often be estimated accurately but only for certain frequencies. For example, this happens in situations where the RTF is estimated from a noise-free signal of a target source whose spectrum does not span the whole frequency range. By combining a conventional RTF estimator and a selection of the active frequencies, an incomplete measurement...
The estimation of a filter that determines an echo path is a difficult problem when double-talk is present. We use a Blind Source Separation model based on signals' nonstationarity with a partially known mixing matrix to estimate the filter during the double talk. A second-order approximation of a log-likelihood function is used to derive a quadratic crite-rion. Then, we propose two methods to estimate...
In signal enhancement applications, a reference signal which provides information about interferences and noise is desired. It can be obtained via a multichannel filter that performs a spatial null in the target position, a so-called target-cancelation filter. The filter must adapt to the target position, which is difficult when noise is active. When the target location is confined to a small area,...
This paper summarizes the 2013 community-based Signal Separation Evaluation Campaign (SiSEC 2013). Five speech and music datasets were contributed, including two new datasets: “Two-channel noisy recordings of a moving speaker within a limited area” and “Asynchronous recordings of speech mixtures”. The participants addressed one or more datasets out of five, and the results for each task were evaluated...
This report proposes a novel variant of the generalized sidelobe canceler. It assumes that a set of prepared relative transfer functions (RTFs) is available for several potential positions of a target source within a confined area. The key problem here is to select the correct RTF at any time, even when the exact position of the target is unknown and interfering sources are present. We propose to...
This paper deals with several modifications of an existing Blind Audio Source Separation (BASS) method called T-ABCD. The method applies Independent Component Analysis (ICA) in the time-domain, which gives independent components of individual signals that form unknown groups. The need is to recover these groups using a clustering algorithm and a similarity measure, and reconstruct the separated signals...
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