Spectral envelope estimation and regularization

L. Anders Ekman, W. Bastiaan Kleijn, Manohar Murthi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A well-known problem with linear prediction is that its estimate of the spectral envelope often has sharp peaks for high-pitch speakers. These peaks are anomalies resulting from contamination of the spectral envelope by the spectral fine structure. We investigate the method of regularized linear prediction to find a better estimate of the spectral envelope and compare the method to the commonly used approach of bandwidth expansion. We present simulations over voiced frames of female speakers from the TIMIT database, where the envelope modeling accuracy is measured using a log spectral distortion measure. We also investigate the coding properties of the methods. The results indicate that the new regularized LP method is superior to bandwidth expansion, with an insignificant increase in computational complexity.

Original languageEnglish
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume1
StatePublished - Dec 1 2006
Event2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
Duration: May 14 2006May 19 2006

Other

Other2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
CountryFrance
CityToulouse
Period5/14/065/19/06

Fingerprint

envelopes
Bandwidth
linear prediction
Computational complexity
Contamination
bandwidth
expansion
estimates
coding
contamination
fine structure
anomalies
simulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Signal Processing
  • Acoustics and Ultrasonics

Cite this

Ekman, L. A., Kleijn, W. B., & Murthi, M. (2006). Spectral envelope estimation and regularization. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 1). [1660003]

Spectral envelope estimation and regularization. / Ekman, L. Anders; Kleijn, W. Bastiaan; Murthi, Manohar.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 1 2006. 1660003.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ekman, LA, Kleijn, WB & Murthi, M 2006, Spectral envelope estimation and regularization. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 1, 1660003, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006, Toulouse, France, 5/14/06.
Ekman LA, Kleijn WB, Murthi M. Spectral envelope estimation and regularization. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 1. 2006. 1660003
Ekman, L. Anders ; Kleijn, W. Bastiaan ; Murthi, Manohar. / Spectral envelope estimation and regularization. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 1 2006.
@inproceedings{fcb0319425ed45c28e7a0a172f2a4609,
title = "Spectral envelope estimation and regularization",
abstract = "A well-known problem with linear prediction is that its estimate of the spectral envelope often has sharp peaks for high-pitch speakers. These peaks are anomalies resulting from contamination of the spectral envelope by the spectral fine structure. We investigate the method of regularized linear prediction to find a better estimate of the spectral envelope and compare the method to the commonly used approach of bandwidth expansion. We present simulations over voiced frames of female speakers from the TIMIT database, where the envelope modeling accuracy is measured using a log spectral distortion measure. We also investigate the coding properties of the methods. The results indicate that the new regularized LP method is superior to bandwidth expansion, with an insignificant increase in computational complexity.",
author = "Ekman, {L. Anders} and Kleijn, {W. Bastiaan} and Manohar Murthi",
year = "2006",
month = "12",
day = "1",
language = "English",
isbn = "142440469X",
volume = "1",
booktitle = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

}

TY - GEN

T1 - Spectral envelope estimation and regularization

AU - Ekman, L. Anders

AU - Kleijn, W. Bastiaan

AU - Murthi, Manohar

PY - 2006/12/1

Y1 - 2006/12/1

N2 - A well-known problem with linear prediction is that its estimate of the spectral envelope often has sharp peaks for high-pitch speakers. These peaks are anomalies resulting from contamination of the spectral envelope by the spectral fine structure. We investigate the method of regularized linear prediction to find a better estimate of the spectral envelope and compare the method to the commonly used approach of bandwidth expansion. We present simulations over voiced frames of female speakers from the TIMIT database, where the envelope modeling accuracy is measured using a log spectral distortion measure. We also investigate the coding properties of the methods. The results indicate that the new regularized LP method is superior to bandwidth expansion, with an insignificant increase in computational complexity.

AB - A well-known problem with linear prediction is that its estimate of the spectral envelope often has sharp peaks for high-pitch speakers. These peaks are anomalies resulting from contamination of the spectral envelope by the spectral fine structure. We investigate the method of regularized linear prediction to find a better estimate of the spectral envelope and compare the method to the commonly used approach of bandwidth expansion. We present simulations over voiced frames of female speakers from the TIMIT database, where the envelope modeling accuracy is measured using a log spectral distortion measure. We also investigate the coding properties of the methods. The results indicate that the new regularized LP method is superior to bandwidth expansion, with an insignificant increase in computational complexity.

UR - http://www.scopus.com/inward/record.url?scp=33947644366&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33947644366&partnerID=8YFLogxK

M3 - Conference contribution

SN - 142440469X

SN - 9781424404698

VL - 1

BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

ER -