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Lossless audio compression of speech...
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Liu, Yang.
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Lossless audio compression of speech and voice.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Lossless audio compression of speech and voice./
作者:
Liu, Yang.
面頁冊數:
49 p.
附註:
Chair: Evangelos A. Yfantis.
Contained By:
Masters Abstracts International41-05.
標題:
Computer Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1413610
Lossless audio compression of speech and voice.
Liu, Yang.
Lossless audio compression of speech and voice.
- 49 p.
Chair: Evangelos A. Yfantis.
Thesis (M.S.)--University of Nevada, Las Vegas, 2002.
Data compression plays an important role in modern telecommunication, entertainment, computing and networking areas because the capacities of media for storage and bandwidth for transmission are not growing proportionally with the rapid demand for multimedia data. Speech and voice compression is one of applications in this field. Although there are a lot of techniques used in speech coding, new algorithms need to be developed to achieve better performance. Our research focus is on lossless speech and voice compression using wavelet transform, prediction, and Rice coding. These techniques have some properties, such as, very fast computation and easily exploiting the redundancy in the speech signal. By taking these advantages, we can reduce the number of bits required to represent the audio signal and get better lossless audio compression. In this thesis, basic concepts and properties of these techniques will be displayed and a new loseless algorithm based on these methods is presented as well. The test results of the new algorithm are shown and some analyses are given.Subjects--Topical Terms:
626642
Computer Science.
Lossless audio compression of speech and voice.
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Data compression plays an important role in modern telecommunication, entertainment, computing and networking areas because the capacities of media for storage and bandwidth for transmission are not growing proportionally with the rapid demand for multimedia data. Speech and voice compression is one of applications in this field. Although there are a lot of techniques used in speech coding, new algorithms need to be developed to achieve better performance. Our research focus is on lossless speech and voice compression using wavelet transform, prediction, and Rice coding. These techniques have some properties, such as, very fast computation and easily exploiting the redundancy in the speech signal. By taking these advantages, we can reduce the number of bits required to represent the audio signal and get better lossless audio compression. In this thesis, basic concepts and properties of these techniques will be displayed and a new loseless algorithm based on these methods is presented as well. The test results of the new algorithm are shown and some analyses are given.
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