A new two-stage blind source separation (BSS) method for convolutive mixtures of speech is proposed, in which a single-input multiple-output (SIMO)-model-based independent component analysis (ICA) and a new SIMO-model-based binary masking are combined. SIMO-model-based ICA enables us to separate the mixed signals, not into monaural source signals but into SIMOmodel-based signals from independen...

The ideal binary mask is often seen as a goal for time-frequency masking algorithms trying to increase speech intelligibility, but the required availability of the unmixed signals makes it difficult to calculate the ideal binary mask in any real-life applications. In this paper we derive the theory and the requirements to enable calculations of the ideal binary mask using a directional system w...

We have used Aperture Masking Interferometry and Adaptive Optics (AO) at the Palomar 200” to obtain precise mass measurements of the binary M dwarf GJ 623. AO observations spread over 3 years combined with a decade of radial velocity measurements constrain all orbital parameters of the GJ 623 binary system accurately enough to critically challenge the models. The dynamical masses measured are m...

Villamar et al. (1) noted that masking was reported at a higher rate in 2010 than it was in 2000, but lamented that other aspects of CONSORT were not similarly improved. To place the reporting of masking in context, imagine a scenario in which the rehabilitation of patients with knee injuries was considered complete and successful as soon as these patients reported feeling better. Imagine a pol...

The time-frequency masking approach in blind speech extraction consists of two main steps: feature clustering in a space spanned over delay-time and attenuation rate, and spectrogram masking in order to reconstruct the sources. Usually a binary mask is generated under the strong W-disjoint orthogonal (WDO) assumption (disjoint orthogonal representations in the frequency domain). In practice, th...

When one taste (masker) is strong enough, it can completely mask another task (target) of different quality. How strong the masker must be to do this depends on how strong the target is. As the target concentration is increased, the masking concentration must be increased, too, but in ever-increasing proportion. To quantify the conditions for such complete masking, the target's detection thresh...

The problem of overlapping harmonics is particularly acute in musical sound separation and has not been addressed adequately. We propose a monaural system based on binary time-frequency masking with an emphasis on robust decisions in timefrequency regions, where harmonics from different sources overlap. Our computational auditory scene analysis system exploits the observation that sounds from t...

Several source separation techniques use binary masking on spectrograms to separate two or more speakers from each other. In this thesis, the possibilities for obtaining the best quality signal, reconstructed from masked spectrograms through vector quantized models of speakers, is investigated. The advantages and disadvantages of such an approach are examined. Additionally, the task of signal r...

In this Letter, a novel approach of encryption based on chaotic Hopfield neural networks with time varying delay is proposed. We use the chaotic neural network to generate binary sequences which will be used for masking plaintext. The plaintext is masked by switching of chaotic neural network maps and permutation of generated binary sequences. Simulation results were given to show the feasibili...