NDLI: Gaussian mixture model based mutual information estimation between frequency bands in speech

Content Provider	IEEE Xplore Digital Library
Author	Nilsson, Mattias Gustaftson, Harald Vang Andersen, Soren Kleijn, W. Bastiaan
Copyright Year	2002
Description	Author affiliation: Dept. of Speech, Music and Hearing, KTH (Royal Institute of Technology), SE- I00 44 Stockholm, Sweden (Nilsson, Mattias; Vang Andersen, Soren; Kleijn, W. Bastiaan) \|\| Dept. of Telecommunications and Signal Processing, Blekinge Institute of Technology, Sweden (Gustaftson, Harald)
Abstract	In this paper, we investigate the dependency between the spectral envelopes of speech in disjoint frequency bands, one covering the telephone bandwidth from 0.3 kHz to 3.4 kHz and one covering the frequencies from 3.7 kHz to 8 kHz. The spectral envelopes are jointly modeled with a Gaussian mixture model based on mel-frequency cepstral coefficients and the log-energy-ratio of the disjoint frequency bands. Using this model, we quantify the dependency between bands through their mutual information and the perceived entropy of the high frequency band. Our results indicate that the mutual information is only a small fraction of the perceived entropy of the high band. This suggests that speech bandwidth extension should not rely only on mutual information between narrow- and high-band spectra. Rather, such methods need to make use' of perceptual properties to ensure that the extended signal sounds pleasant.
File Size	2246921
File Format	PDF
ISBN	0780374029
ISSN	15206149
DOI	10.1109/ICASSP.2002.5743770
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Distortion measurement Speech recognition Speech Narrowband Frequency estimation Estimation Acoustic distortion
Content Type	Text
Resource Type	Article

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