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Joint optimization of the frequency-domain and time-domain transformations in deriving generalized static and dynamic MFCCs

Authors Lai, Yiu-Pong
Siu, Manhung HKUST affiliated (currently or previously)
Mak, Brian View this author's profile
Issue Date 2006
Source IEEE signal processing letters , v. 13, (11), 2006, NOV, p. 707-710
Summary 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 letter, 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.
ISSN 1070-9908
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Language English
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