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Frequency domain linear prediction (FDLP) uses autoregressive models to represent Hilbert envelopes of relatively long segments of speech/audio signals. Although the basic FDLP audio codec achieves good quality of the reconstructed signal at high bit-rates, there is a need for scaling to lower bit-rates without degrading the reconstruction quality. Here, we present a method for improving the compression efficiency of the FDLP codec by the application of the modified discrete cosine transform (MDCT) for encoding the FDLP residual signals. In the subjective and objective quality evaluations, the proposed FDLP codec provides competent quality of reconstructed signal compared to the state-of-the-art audio codecs for the 32 − 64 kbps range.
Author (s): Ganapathy, Sriram; Motlicek, Petr; Hermansky, Hynek
Affiliation:
ECE Dept., Johns Hopkins University, Baltimore, MD, USA; Idiap Research Institute, Martigny, Switzerland
(See document for exact affiliation information.)
AES Convention: 127
Paper Number:7921
Publication Date:
2009-10-06
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Session subject:
Signal Processing
Permalink: https://aes2.org/publications/elibrary-page/?id=15116
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Ganapathy, Sriram; Motlicek, Petr; Hermansky, Hynek; 2009; MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction [PDF]; ECE Dept., Johns Hopkins University, Baltimore, MD, USA; Idiap Research Institute, Martigny, Switzerland; Paper 7921; Available from: https://aes2.org/publications/elibrary-page/?id=15116
Ganapathy, Sriram; Motlicek, Petr; Hermansky, Hynek; MDCT for Encoding Residual Signals in Frequency Domain Linear Prediction [PDF]; ECE Dept., Johns Hopkins University, Baltimore, MD, USA; Idiap Research Institute, Martigny, Switzerland; Paper 7921; 2009 Available: https://aes2.org/publications/elibrary-page/?id=15116