Abstract
dc:description.abstractSpeaking 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.
Degree
thesis:*- Name thesis:degree_name
- Master of Science (MS)
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- Computer Science
- Grantor dc:publisher
- University of Nevada, Las Vegas
- Year
- 2000
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Yang, Ying
- Contributors dc:contributor
-
- Evangelos A. Yfantis
Rights
dc:rights- Statement dc:rights
-
- IN COPYRIGHT. For more information about this rights statement, please visit http://rightsstatements.org/vocab/InC/1.0/
- Language dc:language
- English
Identifiers
dc:identifier.*- Identifier
- https://oasis.library.unlv.edu/rtds/1177
- OAI identifier oai:identifier
- oai:oasis.library.unlv.edu:rtds-2176