Perceptually Biased Linear Prediction
A perceptually biased linear prediction scheme is proposed for audio coding. Using only simple modifications of the coefficients defining the normal equations for a least-squares error, the spectral masking effects are mimicked in the prediction synthesis filter without using an explicit psycho-acoustic model. The main advantage of such a scheme is the reduced computational complexity. The proposed approach was implemented in a Laguerre-based Linear Prediction scheme and its performance has been evaluated in comparison with a Laguerre-based Linear Prediction approach controlled by the ISO MPEG-1 Layer I-II model, as well as with one of the latest spectral integration based psycho-acoustic models. Listening tests clearly demonstrate the viability of the proposed method.
Click to purchase paper or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members, $5 for AES members and is free for E-Library subscribers.