Linear prediction is the cornerstone of most modern speech compression algorithms. This paper proposes modifying the calculation of the linear predictor coefficients to incorporate a weighting function based on the simultaneous masking property of the ear. The resultant prediction filter better models the perceptual characteristics of the source and results in the removal of more perceptually important information from the input speech signal than a standard LP filter. When employed in a low rate speech codec the net effect is an improvement in subjective quality, with no increase in transmission rate and only a modest increase in computational complexity
Linear prediction (LP) is a powerful technique for efficient source-system model based representatio...
Linear predictive coding (LPC) is defined as a digital method for encoding an analog signal in which...
We shall present in this paper the results of investigations on the performance of Linear Prediction...
Linear prediction is the cornerstone of most modern speech compression algorithms. This paper propos...
linear prediction of speech incorporating simultaneously masked spectral weightin
The need to compress digitised signals like speech for more efficient transmission and storage while...
A perceptually biased linear prediction scheme is proposed for audio coding. Using only simple modif...
From the early pulse code modulation-based coders to some of the recent multi-rate wideband speech c...
The goal of this thesis is to modify the traditional linear prediction (LP) analysis in such way tha...
Autoregressive (AR) modeling by linear prediction (LP) provides the basis of a wide variety of signa...
Linear prediction (LP) coe cients are used to describe the formant structure of a speech waveform. M...
A frequency domain technique is presented to be used in speech coding to improve the performance of ...
Linear prediction has been successfully applied in many speech and audio processing systems. This pa...
The linear prediction coding of speech is based in the assumption that the generation model is auto...
Linear prediction has been successfully applied in many speech and audio processing systems. This pa...
Linear prediction (LP) is a powerful technique for efficient source-system model based representatio...
Linear predictive coding (LPC) is defined as a digital method for encoding an analog signal in which...
We shall present in this paper the results of investigations on the performance of Linear Prediction...
Linear prediction is the cornerstone of most modern speech compression algorithms. This paper propos...
linear prediction of speech incorporating simultaneously masked spectral weightin
The need to compress digitised signals like speech for more efficient transmission and storage while...
A perceptually biased linear prediction scheme is proposed for audio coding. Using only simple modif...
From the early pulse code modulation-based coders to some of the recent multi-rate wideband speech c...
The goal of this thesis is to modify the traditional linear prediction (LP) analysis in such way tha...
Autoregressive (AR) modeling by linear prediction (LP) provides the basis of a wide variety of signa...
Linear prediction (LP) coe cients are used to describe the formant structure of a speech waveform. M...
A frequency domain technique is presented to be used in speech coding to improve the performance of ...
Linear prediction has been successfully applied in many speech and audio processing systems. This pa...
The linear prediction coding of speech is based in the assumption that the generation model is auto...
Linear prediction has been successfully applied in many speech and audio processing systems. This pa...
Linear prediction (LP) is a powerful technique for efficient source-system model based representatio...
Linear predictive coding (LPC) is defined as a digital method for encoding an analog signal in which...
We shall present in this paper the results of investigations on the performance of Linear Prediction...