Linear Prediction (LPC)
An efficient solution to sparse linear prediction analysis of speech
... The linear prediction analysis problem of a frame of length N can be written in the general matrix form as the l p -norm minimization of the residual vector ...
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Performance Comparison of Linear Prediction based Vocoders in Linux Platform
... of linear prediction based vocoders, viz. Code Excited Linear Prediction (CELP), Low-Delay CELP (LD-CELP) and Mixed Excitation Linear Prediction (MELP) at bit rates of ...
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Linear Prediction of Nucleotides in a Genome Sequence
... Fig. 7: Quaternary tree structure for strand formation Fig. 7 shows three levels of nucleotides. One can generate 64 strands of length 3. As the length increases, the number of strands increases as per the formula 4 n , ...
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Linear Prediction Using Refined Autocorrelation Function
... of linear prediction analysis by utilizing a refined version of the autocorrelation ...using linear prediction occur often due to the harmonic struc- ture of the excitation source, which ...
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Comparison of Linear Prediction Models for Audio Signals
... frequency-warped linear prediction (WLP) [12, ...pitch prediction models. Pitch prediction (PLP), also known as long-term prediction, was originally proposed for speech modeling and ...
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Prediction of thermophysical properties of oxygen using linear prediction and multilayer feedforward neural network
... Thermophysical properties of oxygen are of great importance in practical applications. However, the values of the properties differs from each other under different circumstances, which may have bad influence in ...
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A Survey on Feature Extraction Algorithm for the Speech Recognition System
... Regional languages are less explored and spoken as compared to the languages like English, Germany, Korean, etc. This serves the need for the regional languages to be explored so that it can be brought to par to other ...
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Analysis of Feature Extraction Methods for Speech Recognition
... contained within a speech signal is distributed more in the lower frequencies than in the higher frequencies. In order to boost up the energies in high frequencies, pre-emphasis of the signal is done. Then this signal is ...
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International Journal of Computer Science and Mobile Computing
... From the tests carried out on the Matlab demonstration with several different sound samples from male speakers, it generally produced a high level of accuracy. A voiced speech can be differentiated from an unvoiced ...
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A Study on Different Music Genre Classification Methods
... The rapid development of Internet together with the growth of the bandwidth availability have resulted in the widespread of large amounts of digital multimedia contents in Internet. One of the most important types of ...
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Reversible audio data hiding algorithm using noncausal prediction of alterable orders
... better prediction performance, Yan and Wang pro- posed a prediction-error expansion method using linear prediction [19] which used past eight samples for predic- tion and the prediction ...
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Prediction of Rates of Inbreeding in Populations Selected on Best Linear Unbiased Prediction of Breeding Value
... the selective advantage as a deviation from the contemporaries, which was the sum of the breeding values of the individual and the breeding values of its mates. The accuracy of predictions was evaluated for a wide range ...
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Immunoinformatics Approach Identified Two Highly Conserved B and T Cell Epitopes, LEASKRWAF and DSPLEASKRWAFRTG, for Effective Vaccine Design against Ebola and Marburg Viruses
... Nowadays, epitope based vaccine design against lethal viruses through bioinformatics has become popular because of its short study time, increased strength to predict effective epitopes and the availability of ample ...
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ECG-based Detection and Prediction Models of Sudden Cardiac Death: Current Performances and New Perspectives on Signal Processing Techniques
... and prediction of SCD have become an important topic of research and it is crucial for cardiac patient’s ...and prediction models in terms of processing tech- niques and performance ...using linear ...
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The implementation of Joint QRS Detection and Data Compression Scheme for Web Based High Accuracy ECG Detection and Healthcare System
... Abstract— This paper presents the design of a complete package for an embedded programmable ECG monitoring system and detection of ECG characteristic points using joint QRS detection and data compression technique. The ...
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An Integrated In-Silico Approach to Develop Epitope-Based Peptide Vaccine against SARS-CoV-2
... for prediction of protective antigenicity of the ...structure prediction of peptides and MHC-I alleles (HLA-C*03:03) was further done to carry out docking studies using ...
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On the Additive and Dominant Variance and Covariance of Individuals Within the Genomic Selection Scope
... The accuracies for each model (correlations between TBV and EBV) are shown in Table 2. Compared with the MA and MADped models, all genomic prediction methods (MG and MGD) increased accuracy by 18% for additive ...
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Assessment of genetic diversity in Coho salmon (Oncorhynchus kisutch) populations with no family records using ddRAD seq
... Objective: Selective breeding for desirable traits is becoming popular in aquaculture. In Miyagi prefecture, Japan, a selectively bred population of Coho salmon (Oncorhynchus kisutch) has been established with the ...
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New product development resource forecasting
... Our literature search revealed several data-based predictive modelling methods. Some of the methods listed in Table 2 are extensions of other methods whilst some (for example MARS) have not actually been applied in ...
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Computational Methods in Linear B cell Epitope Prediction
... of linear epitopes and amino acid scale based profiles, Blythe and Flower have performed an extensive estimation of 484 amino acid propensity scales in a dataset of 50 proteins ...scales, prediction ...
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