The performance of the existing speech recognition systems degrades rapidly in the presence of background noise. The OSALPC (One-sided Autocorrelation Linear Predictive Coding) representation of the speech signal has shown to be attractive for speech recognition because of its simplicity and its high recognition performance with respect to the standard LPC in severe conditions of additive white...

Reliability applications are notorious for their la ck of data, resulting in poor parameter estimates a nd inaccurate decisions. Subjective methods enable exp ert knowledge to enhance empirical observations. However, the problem of specifying prior distributi ons for model parameters remains unresolved. We investigate methods of prior predictive elicitation to determine hyperparameters of subje...

A central problem in the production of music by computer is how to generate sounds with similar but different timbres; that is, how to synthesize a'family" of instruments that are perceived as distinguishable but similar in timbre. This paper describes a method for synthesizing a family of string-like instruments that proceeds as follows: First, a few actual violin notes are analyzed using line...

In most popular music, the vocals sung by the lead singer are the focal point of the song. The unique qualities of a singer’s voice make it relatively easy for us to identify a song as belonging to that particular artist. With little training, if one i s familiar with a particular singer’s voice one can usually recognize that voice in other pieces, even when hearing a song for the first time. T...

This paper investigates use of a machine learnt model for recognition of individually words spoken in Urdu language. Speech samples from many different speakers were utilized for modeling. Original time-domain samples are normalized and pre-processed by applying discrete Fourier transformation for speech feature extraction. In frequency domain, high degree of correlation was found for the same ...

ln this paper two aspects of Une Spectrum Pair (LSP) representation of speech are investigated: the method of converting Linear Predictive Coding (LPC) coefficients to LSP frequencies and the relationships between LPC spectrum and LSP frequencies. A new approach to LSP extraction is proposed which exploits the interframe redundancy of LSP frequencies in order to ensure, on the average, a low co...

Digital lters where unit delays are replaced with frequencydependent delays, such as rst order allpass sections, are often called warped lters since they implement lter specications on a warped non-uniform frequency scale. Warped IIR (WIIR) lters cannot be realized directly due to delayfree loops. Speci c solutions have been known that make WIIR lters realizable but no general approach has been...

A simple variation of the standard biased competition model is shown, via some trivial mathematical manipulations, to be identical to predictive coding. Specifically, it is shown that a particular implementation of the biased competition model, in which nodes compete via inhibition that targets the inputs to a cortical region, is mathematically equivalent to the linear predictive coding model. ...

The aim of the thesis is design good quality encode and decode transmission for long distance communication. One of the most powerful speech analysis techniques is the method of linear predictive analysis. This method has become the predominant technique for representing speech for low bit rate transmission or storage. The importance of this method lies both in its ability to provide extremely ...

One of the most powerful speech analysis techniques is the method of linear predictive analysis. This method has become the predominant technique for representing speech for low bit rate transmission or storage. The importance of this method lies both in its ability to provide extremely accurate estimates of the speech parameters and in its relative speed of computation. The basic idea behind l...