The line spectral frequencies (LSF) are known to be the most efficient representation of the linear predictive coding (LPC) parameters from both the distortion and perceptual point of view. By considering the bounded property of the LSF parameters, we apply beta mixture models (BMM) to model the distribution of the LSF parameters. Meanwhile, by following the principles of probability density fu...

In this paper, we have developed a new general distance measure that not only can be used in a vector quantization (VQ) of the line spectrum frequency (LSF) parameters but perforines well in the LSF traiisfornied domain. The new distance is based on the spectral sensitivity of LSF and their transformed coefficients. In addition, the fix scaling factor is used to decrease the sensitivity of spec...

In this paper, we have developed a new general distance measure that not only can be used in a vector quantization (VQ) of the line spectrum frequency (LSF) parameters but performes well in the LSF transformed domain. The new distance is based on the spectral sensitivity of LSF and their transformed coe cients. In addition, the x scaling factor is used to decrease the sensitivity of spectral er...

V. Goffaux and B. Rossion (2006) argued that holistic processing of faces is largely supported by low spatial frequencies (LSFs) but less so by high spatial frequencies (HSFs). We addressed this claim using a sequential matching task with face composites. Observers judged whether the top halves of aligned or misaligned composites were identical. We replicated the V. Goffaux and B. Rossion (2006...

Fibronectins are cell-secreted glycoproteins that modulate cell attachment, spreading, migration, morphology, differentiation and oncogenic transformation. Fibronectin expression is activated during EMT (epithelial-mesenchymal transition) and is a hallmark of mesenchymal cells. It is shown in the present study that a transcription factor previously unrelated with EMT, TFCP2c/LSF/LBP-1c, was tra...

In packet networks, a reliable scheme to handle packet loss during speech transmission is of great importance. As a common representation of the linear predictive coding (LPC) model, the line spectral frequency (LSF) parameters are widely used in speech quantization and transmission. In this paper, we propose a novel scheme to estimate the missing values occurring during LPC model transmission....

Conventional Speaker Identification (SI) systems utilise spectral features like Mel-Frequency Cepstral Coefficients (MFCC) or Perceptual Linear Prediction (PLP) as a frontend module. Line Spectral pairs Frequencies (LSF) are popular alternative representation of Linear Prediction Coefficients (LPC). In this paper, an investigation is carried out to extract LSF from perceptually modified speech....

Further improvement in performance, to achieve near transparent quality LSF quantization, is shown to be possible by using a higher order two dimensional (2-D) prediction in the coefficient domain. The prediction is performed in a closed-loop manner so that the LSF reconstruction error is the same as the quantization error of the prediction residual. We show that an optimum 2-D predictor, explo...

Experimental allergic encephalomyelitis (EAE) is an inflammatory, CD4+ Th1-mediated autoimmune disease, which serves as a model for multiple sclerosis. We examined the effect of a novel anti-inflammatory drug, lisofylline (LSF), on EAE induced either by injection of mouse spinal cord homogenate or following transfer of myelin basic protein-reactive T cells. Orally administered LSF significantly...

The affective prediction hypothesis assumes that visual expectation allows fast and accurate processing of emotional stimuli. The prediction corresponds to what an object is likely to be. It therefore facilitates its identification by setting aside what the object is unlikely to be. It has then been suggested that prediction might be inevitably associated with the inhibition of irrelevant possi...