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.

Authors: Ganapathy, Sriram; Motlicek, Petr; Hermansky, Hynek
Affiliations: ECE Dept., Johns Hopkins University, Baltimore, MD, USA; Idiap Research Institute, Martigny, Switzerland(See document for exact affiliation information.)
AES Convention: 127 (October 2009) Paper Number: 7921
Publication Date: October 1, 2009 Import into BibTeX
Subject: Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=15116

Click to purchase paper as a non-member 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 and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 127Papers)   /127/7921.pdf

Start a discussion about this paper!