Linear prediction has been successfully applied in many speech and audio processing systems. This paper presents the similarities and differences between two classes of linear prediction schemes, namely, Warped Linear Prediction (WLP) and Laguerre Linear Prediction (LLP). It is shown that both systems are closely related. In particular, we show that the LLP is in fact a WLP system where the optimization procedure is adapted such that the whitening property is automatically incorporated. The adaptation consists of a new linear constraint on the parameters. Furthermore, we show that an optimized WLP scheme where whitening is achieved by prefiltering before estimating the optimal coefficients results in a filter having all except the last refl...
Recently a quantization strategy for stereo linear prediction systems was proposed and tested using ...
This paper studies the use of warped linear prediction (WLP) for wideband parametric speech synthesi...
The goal of this thesis is to modify the traditional linear prediction (LP) analysis in such way tha...
Linear prediction has been successfully applied in many speech and audio processing systems. This pa...
Linear prediction has been successfully applied in many speech and audio processing systems. This pa...
A mapping is considered which translates the prediction coefficients of a linear prediction analysis...
A perceptually biased linear prediction scheme is proposed for audio coding. Using only simple modif...
The aim of this paper is to provide an experimental evaluation of five linear prediction methods in ...
The aim of this paper is to provide an experimental evaluation of five linear prediction methods in ...
Linear prediction is the cornerstone of most modern speech compression algorithms. This paper propos...
While linear prediction (LP) has become immensely popular in speech modeling, it does not seem to pr...
This paper considers general, pure linear prediction schemes, where the prediction of the input sign...
Linear prediction is the cornerstone of most modern speech compression algorithms. This paper propos...
A frequency domain technique is presented to be used in speech coding to improve the performance of ...
Linear prediction (LP) provides a robust, reliable and accurate method for estimating the param...
Recently a quantization strategy for stereo linear prediction systems was proposed and tested using ...
This paper studies the use of warped linear prediction (WLP) for wideband parametric speech synthesi...
The goal of this thesis is to modify the traditional linear prediction (LP) analysis in such way tha...
Linear prediction has been successfully applied in many speech and audio processing systems. This pa...
Linear prediction has been successfully applied in many speech and audio processing systems. This pa...
A mapping is considered which translates the prediction coefficients of a linear prediction analysis...
A perceptually biased linear prediction scheme is proposed for audio coding. Using only simple modif...
The aim of this paper is to provide an experimental evaluation of five linear prediction methods in ...
The aim of this paper is to provide an experimental evaluation of five linear prediction methods in ...
Linear prediction is the cornerstone of most modern speech compression algorithms. This paper propos...
While linear prediction (LP) has become immensely popular in speech modeling, it does not seem to pr...
This paper considers general, pure linear prediction schemes, where the prediction of the input sign...
Linear prediction is the cornerstone of most modern speech compression algorithms. This paper propos...
A frequency domain technique is presented to be used in speech coding to improve the performance of ...
Linear prediction (LP) provides a robust, reliable and accurate method for estimating the param...
Recently a quantization strategy for stereo linear prediction systems was proposed and tested using ...
This paper studies the use of warped linear prediction (WLP) for wideband parametric speech synthesi...
The goal of this thesis is to modify the traditional linear prediction (LP) analysis in such way tha...