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Gaussian Mixture Model based Mutual Information Estimation between Frequency Bands in Speech
KTH, Superseded Departments, Speech, Music and Hearing.
KTH, Superseded Departments, Speech, Music and Hearing.
KTH, Superseded Departments, Speech, Music and Hearing.
KTH, Superseded Departments, Speech, Music and Hearing.
2002 (English)In: 2002 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-IV, PROCEEDINGS, 2002, 525-528 p.Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2002. 525-528 p.
Series
International Conference on Acoustics Speech and Signal Processing (ICASSP), ISSN 1520-6149
Keyword [en]
Bandwidth, Estimation, Mathematical models, Speech intelligibility, Speech transmission
National Category
Fluid Mechanics and Acoustics
Identifiers
URN: urn:nbn:se:kth:diva-5789ISI: 000177510400132ISBN: 0-7803-7402-9 (print)OAI: oai:DiVA.org:kth-5789DiVA: diva2:10284
Conference
IEEE International Conference on Acoustics, Speech, and Signal Processing ORLANDO, FL, MAY 13-17, 2002
Note
QC 20100914Available from: 2006-05-23 Created: 2006-05-23 Last updated: 2010-09-14Bibliographically approved
In thesis
1. Entropy and Speech
Open this publication in new window or tab >>Entropy and Speech
2006 (English)Doctoral thesis, comprehensive summary (Other scientific)
Abstract [en]

In this thesis, we study the representation of speech signals and the estimation of information-theoretical measures from observations containing features of the speech signal. The main body of the thesis consists of four research papers.

Paper A presents a compact representation of the speech signal that facilitates perfect reconstruction. The representation is constituted of models, model parameters, and signal coefficients. A difference compared to existing speech representations is that we seek a compact representation by adapting the models to maximally concentrate the energy of the signal coefficients according to a selected energy concentration criterion. The individual parts of the representation are closely related to speech signal properties such as spectral envelope, pitch, and voiced/unvoiced signal coefficients, bene cial for both speech coding and modi cation.

From the information-theoretical measure of entropy, performance limits in coding and classi cation can be derived. Papers B and C discuss the estimation of di erential entropy. Paper B describes a method for estimation of the di erential entropies in the case when the set of vector observations (from the representation) lie on a lower-dimensional surface (manifold) in the embedding space. In contrast to the method presented in Paper B, Paper C introduces a method where the manifold structures are destroyed by constraining the resolution of the observation space. This facilitates the estimation of bounds on classi cation error rates even when the manifolds are of varying dimensionality within the embedding space.

Finally, Paper D investigates the amount of shared information between spectral features of narrow-band (0.3-3.4 kHz) and high-band (3.4-8 kHz) speech. The results in Paper D indicate that the information shared between the high-band and the narrow-band is insufficient for high-quality wideband speech coding (0.3-8 kHz) without transmission of extra information describing the high-band.

Place, publisher, year, edition, pages
Stockholm: KTH, 2006. xii, 38 p.
Series
Trita-EE, ISSN 1653-5146 ; 2006:014
Keyword
speech representation, energy concentration, entropy estimation, manifolds
National Category
Fluid Mechanics and Acoustics
Identifiers
urn:nbn:se:kth:diva-3990 (URN)91-628-6861-6 (ISBN)
Public defence
2006-06-08, D3, Lindstedtsvägen 5, Stockholm, 14:00
Opponent
Supervisors
Note
QC 20100914Available from: 2006-05-23 Created: 2006-05-23 Last updated: 2010-09-14Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf