Journal Forum

Synthetic Reverberator - January 1960
1 comment

Multichannel Sound Reproduction Quality Improves with Angular Separation of Direct and Reflected Sounds - June 2015
1 comment

Clean Audio for TV broadcast: An Object-Based Approach for Hearing-Impaired Viewers - April 2015

Access Journal Forum

AES E-Library

Cascaded Long Term Prediction of Polyphonic Signals for Low Power Decoders

Document Thumbnail

An optimized cascade of long term prediction filters, each corresponding to an individual periodic component of the polyphonic audio signal, was shown in our recent work to be highly effective as an inter-frame prediction tool for low delay audio compression. The earlier paradigm involved backward adaptive parameter estimation, and hence significantly higher decoder complexity, which is unsuitable for applications that pose a stringent power constraint on the decoder. This paper overcomes this limitation via extension to include forward adaptive parameter estimation, in two modes that trade complexity for side information: (i) a subset of parameters is sent as side information and the remaining is backward adaptively estimated; (ii) all parameters are sent as side information. We further exploit inter-frame parameter dependencies to minimize the side information rate. Objective and subjective evaluation results clearly demonstrate substantial gains and effective control of the tradeoff between rate-distortion performance and decoder complexity.

AES Convention: Paper Number:
Publication Date:

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 $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location:

Start a discussion about this paper!

Facebook   Twitter   LinkedIn   Google+   YouTube   RSS News Feeds  
AES - Audio Engineering Society