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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.
Author (s): Nanjundaswamy, Tejaswi; Rose, Kenneth
Affiliation:
University of California, Santa Barbara, Santa Barbara, CA, USA
(See document for exact affiliation information.)
AES Convention: 135
Paper Number:8940
Publication Date:
2013-10-06
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Session subject:
Signal Processing
Permalink: https://aes2.org/publications/elibrary-page/?id=16990
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Nanjundaswamy, Tejaswi; Rose, Kenneth; 2013; Cascaded Long Term Prediction of Polyphonic Signals for Low Power Decoders [PDF]; University of California, Santa Barbara, Santa Barbara, CA, USA; Paper 8940; Available from: https://aes2.org/publications/elibrary-page/?id=16990
Nanjundaswamy, Tejaswi; Rose, Kenneth; Cascaded Long Term Prediction of Polyphonic Signals for Low Power Decoders [PDF]; University of California, Santa Barbara, Santa Barbara, CA, USA; Paper 8940; 2013 Available: https://aes2.org/publications/elibrary-page/?id=16990