A comparison of warped and conventional linear predictive coding

Aki Härmä; Unto K. Laine

doi:10.1109/89.928922

A comparison of warped and conventional linear predictive coding

Aki Härmä^*, Unto K. Laine

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

Abstract

Frequency-warped signal processing techniques are attractive to many wideband speech and audio applications since they have a clear connection to the frequency resolution of human hearing. A warped version of linear predictive coding (LPC) is studied in this paper. The performance of conventional and warped LPC algorithms are compared in a simulated coding system using listening tests and conventional technical measures. The results indicate that the use of warped techniques is beneficial especially in wideband coding and may result in savings of one bit per sample compared to the conventional algorithm while retaining the same subjective quality.

Original language	English
Pages (from-to)	579-588
Number of pages	10
Journal	Ieee Transactions on Speech and Audio Processing
Volume	9
Issue number	5
DOIs	https://doi.org/10.1109/89.928922
Publication status	Published - Jul 2001
Externally published	Yes

Keywords

Audio coding
Frequency-warping
Listening test
Speech coding
Warped linear prediction

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10.1109/89.928922

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title = "A comparison of warped and conventional linear predictive coding",

abstract = "Frequency-warped signal processing techniques are attractive to many wideband speech and audio applications since they have a clear connection to the frequency resolution of human hearing. A warped version of linear predictive coding (LPC) is studied in this paper. The performance of conventional and warped LPC algorithms are compared in a simulated coding system using listening tests and conventional technical measures. The results indicate that the use of warped techniques is beneficial especially in wideband coding and may result in savings of one bit per sample compared to the conventional algorithm while retaining the same subjective quality.",

keywords = "Audio coding, Frequency-warping, Listening test, Speech coding, Warped linear prediction",

author = "Aki H{\"a}rm{\"a} and Laine, {Unto K.}",

note = "Funding Information: This work has been supported by the Academy of Finland and the GETA graduate school. The authors are grateful to Paavo Alku, Toomas Altosaar, and three anonymous reviewers who helped us enhance the clarity and language of this article. Finally, the listeners are acknowledged for their dedication and diligence in spending so many hours in the listening room.",

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AU - Laine, Unto K.

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PY - 2001/7

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N2 - Frequency-warped signal processing techniques are attractive to many wideband speech and audio applications since they have a clear connection to the frequency resolution of human hearing. A warped version of linear predictive coding (LPC) is studied in this paper. The performance of conventional and warped LPC algorithms are compared in a simulated coding system using listening tests and conventional technical measures. The results indicate that the use of warped techniques is beneficial especially in wideband coding and may result in savings of one bit per sample compared to the conventional algorithm while retaining the same subjective quality.

AB - Frequency-warped signal processing techniques are attractive to many wideband speech and audio applications since they have a clear connection to the frequency resolution of human hearing. A warped version of linear predictive coding (LPC) is studied in this paper. The performance of conventional and warped LPC algorithms are compared in a simulated coding system using listening tests and conventional technical measures. The results indicate that the use of warped techniques is beneficial especially in wideband coding and may result in savings of one bit per sample compared to the conventional algorithm while retaining the same subjective quality.

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A comparison of warped and conventional linear predictive coding

Abstract

Keywords

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