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170547

A New Adaptive Line Spectral Pair Filter for Linear Prediction of Speech.

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Electrical Engineering

Abstract

 Analysis/synthesis of speech by PARCOR method is proved to be advantageous over other methods previously developed for bit rates above 2.4 kbps, However, if the bit rate is reduced below this value, reconstructed speech becomes unclear and unnatural. Line spectral pair (LSP) coefficients were thus Introduced as alternative representations of linear prediction parameters for low-bit rate speech coding. This paper presents a least-mean-square (LMS) type adaptive LSP filter for directly calculating the LSP coefficients on sample-by-semple basis. The algorithm proposed here is shown to have higher convergence rate and lower misadjustment as compared to other algorithms. 

DOI

10.21608/bfemu.2021.170547

Authors

First Name

Fayez

Last Name

Zaki

MiddleName

W.

Affiliation

Department of Engineering Mu'tah University, Jordan.

Email

fwzaki@mans.edu.eg

City

-

Orcid

-

Volume

15

Article Issue

1

Related Issue

24850

Issue Date

1990-06-01

Receive Date

1990-04-18

Publish Date

2021-05-18

Page Start

1

Page End

13

Print ISSN

1110-0923

Online ISSN

2735-4202

Link

https://bfemu.journals.ekb.eg/article_170547.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=170547

Order

5

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023