Award Date

1-1-2000

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer Science

First Committee Member

Evangelos A. Yfantis

Number of Pages

58

Abstract

Speaking is one of the most important ways of communication between humans. Speech processing refers to the technology of speech signal transformations for more efficient storage and transmission, for enhanced intelligibility and ease of assimilation. According to the different purpose as above, technologies on speech signal processing falls into three main categories. They are speech coding, speech recognition and speech synthesis; This thesis shows the experience of our approaching in this area. It focused on analyzing the different characteristics of speech by using mathematical and statistical methods. A test based on lagl product of signals was taken for separating the voiced and unvoiced parts of the speech signals. Other tests for speech processing include pre-processing, collinear predicting, peak detected predicting as well as spectrum analysis.

Keywords

Processing; Speech

Controlled Subject

Computer science

File Format

pdf

File Size

1474.56 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

Permissions

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Identifier

https://doi.org/10.25669/aiw0-gz93


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