________________________________________________________________________________________________________ Oscillatory cortical activity and intelligibility of degraded speech Many neurocognitive aspects associated with the processing of speech were up to now studied by the analysis of event-related potentials. However, none of these cortical responses can be considered as a direct indicator of s...

We introduce a novel speech enhancement algorithm for removing reverberation and noise from recorded speech data. Our approach centers around using a single-channel minimum mean-square error log-spectral amplitude (MMSELSA) estimator, which applies gain coefficients in a timefrequency domain to suppress noise and reverberation. The main contribution of this paper is that the enhancement is done...

Carrying out information about the microstructure and stress behaviour of ferromagnetic steels, Magnetic Barkhausen Noise (MBN) has been used as a basis for effective Non Destructive Testing methods, opening new areas in industrial applications. One of the factors that determines the quality and reliability of the MBN analysis is the way information is extracted from the signal. Commonly, simpl...

Spectral analysis is an important signal processing tool for seismic data. The transformation of a seismogram into the frequency domain is the basis for a significant number of processing algorithms and interpretive methods. However, for seismograms whose frequency content vary with time, a simple 1-D (Fourier) frequency transformation is not sufficient. Improved spectral decomposition in frequ...

We present Song2Quartet, a system for generating string quartet versions of popular songs by combining probabilistic models estimated from a corpus of symbolic classical music with the target audio file of any song. Song2Quartet allows users to add novelty to listening experience of their favorite songs and gain familiarity with string quartets. Previous work in automatic arrangement of music o...

The nonstationary nature of signals and nonlinear systems require the time-frequency representation. In time-domain signal, frequency information is derived from the phase of the Gabor’s analytic signal which is practically obtained by the inverse Fourier transform. This study presents time-frequency analysis by the Fourier transform which maps the time-domain signal into the frequency-domain. ...

Satisficing search algorithms are proposed for adaptively selecting near-best basis and near-best frame decompositions in redundant tree-structured wavelet transforms. Any of a variety of additive or non-additive information cost functions can be used as the decision criterion for comparing and selecting nodes when searching through the tree. The algorithms are applicable to tree-structured tra...

Humanistic Intelligence (HI) is defined as having two embodying elements. (1) It is a signal processing framework in which the human and the computer use each other as peripherals in a feedback loop. (2) The HI processing apparatus is inextricably intertwined with the natural capabilities of the human mind and body. The Humanistic Intelligent Camera, or HI-Cam, is a wearable personal imaging ap...

Amin, Moeness G., and Zhang, Yimin, Direction Finding Based on Spatial Time-Frequency Distribution Matrices, Digital Signal Processing 10 (2000), 325–339. Spatial time-frequency distributions (STFDs) have been recently introduced as the natural means to deal with source signals that are localizable in the time-frequency domain. It has been shown that improved estimates of the signal and noise s...