Gaussian mixture model based mutual information estimation between frequency bands in speech
(2002) IEEE International Conference on Acoustics, Speech and Signal Processing, 2002 p.525-528- 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... (More)
- 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. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4092571
- author
- Nilsson, M ; Gustafsson, H ; Andersen, Sören Vang LU and Kleijn, WB
- publishing date
- 2002
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS
- pages
- 525 - 528
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- IEEE International Conference on Acoustics, Speech and Signal Processing, 2002
- conference location
- Orlando, FL, United States
- conference dates
- 2002-05-13 - 2002-05-17
- external identifiers
-
- wos:000177510400132
- scopus:0036293935
- ISSN
- 1520-6149
- language
- English
- LU publication?
- no
- id
- 3acda647-3acf-428d-a6ac-aef990812f82 (old id 4092571)
- date added to LUP
- 2016-04-01 16:25:52
- date last changed
- 2022-04-22 21:57:17
@inproceedings{3acda647-3acf-428d-a6ac-aef990812f82, 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.}}, author = {{Nilsson, M and Gustafsson, H and Andersen, Sören Vang and Kleijn, WB}}, booktitle = {{2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS}}, issn = {{1520-6149}}, language = {{eng}}, pages = {{525--528}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Gaussian mixture model based mutual information estimation between frequency bands in speech}}, year = {{2002}}, }