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Title: Joint optimization of the frequency-domain and time-domain transformations in deriving generalized static and dynamic MFCCs
Authors: Lai, Yiu-Pong
Siu, Man Hung
Mak, Brian Kan-Wing
Keywords: Low-rank approximation of matrices
Time-frequency representation
Mel-frequency cepstral coefficients
Discrete cosine transform
Issue Date: Nov-2006
Citation: IEEE signal processing letters, v. 13, no. 11, November 2006, p. 707-710
Abstract: Traditionally, static mel-frequency cepstral coefficients (MFCCs) are derived by discrete cosine transformation (DCT), and dynamic MFCCs are derived by linear regression. Their derivation may be generalized as a frequency-domain transformation of the log filter-bank energies (FBEs) followed by a time-domain transformation. In the past, these two transformations are usually estimated or optimized separately. In this paper, we consider sequences of log FBEs as a set of spectrogram images, and investigate an image compression technique to jointly optimize the two transformations so that the reconstruction error of the spectrogram images is minimized; there is an efficient algorithm that solves the optimization problem. The framework allows extension to other optimization costs as well.
Rights: © 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
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