Speech compression based on LPC method
Speech processing is currently a key focus for many researchers in the area of Digital Signal Processing. This project is focus on the topic of voice conversion, which involves producing the speech compression. The aim of speech compression is to produce a compact representation of speech sounds su...
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Universiti Malaysia Perlis
2008
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my.unimap-32882008-11-21T10:51:27Z Speech compression based on LPC method Muhammad Zaidi Muhammad Nor Hasliza A. Rahim (Advisor) Compressed speech Speech processing systems Digital electronics Signal theory (Telecommunication) Speech synthesis Speech compression Speech processing is currently a key focus for many researchers in the area of Digital Signal Processing. This project is focus on the topic of voice conversion, which involves producing the speech compression. The aim of speech compression is to produce a compact representation of speech sounds such that when reconstructed it is perceived to be close to the original. In addition to the implementation of a set of methods, as LPC (Linear Prediction Coding) techniques, encoding good quality speech at a low bit rate and provides extremely accurate estimates of speech parameters. Linear predictive coding (LPC) is defined as a digital method for encoding an analog signal in which a particular value is predicted by a linear function of the past values of the signal. It was first proposed and approved as a method for encoding human speech. The main steps of the complete project include: a method for compressing voice transformation, create a programming in Matlab software and finally translating it into Digital Signal Processing board. 2008-11-21T10:51:27Z 2008-11-21T10:51:27Z 2008-04 Learning Object http://hdl.handle.net/123456789/3288 en Universiti Malaysia Perlis School of Materials Engineering |
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Compressed speech Speech processing systems Digital electronics Signal theory (Telecommunication) Speech synthesis Speech compression |
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Compressed speech Speech processing systems Digital electronics Signal theory (Telecommunication) Speech synthesis Speech compression Muhammad Zaidi Muhammad Nor Speech compression based on LPC method |
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Speech processing is currently a key focus for many researchers in the area of Digital
Signal Processing. This project is focus on the topic of voice conversion, which involves producing the speech compression. The aim of speech compression is to produce a compact representation of speech sounds such that when reconstructed it is perceived to be close to the original. In addition to the implementation of a set of methods, as LPC (Linear Prediction Coding) techniques, encoding good quality speech at a low bit rate and provides extremely accurate estimates of speech parameters. Linear predictive coding (LPC) is defined as a digital method for encoding an analog signal in which a particular value is predicted by a linear function of the past values of the signal. It was first proposed and approved as a method for encoding human speech. The main steps of the complete project include: a method for compressing voice transformation, create a programming in Matlab software and finally translating it into Digital Signal Processing board. |
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Hasliza A. Rahim (Advisor) |
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Hasliza A. Rahim (Advisor) Muhammad Zaidi Muhammad Nor |
format |
Learning Object |
author |
Muhammad Zaidi Muhammad Nor |
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Muhammad Zaidi Muhammad Nor |
title |
Speech compression based on LPC method |
title_short |
Speech compression based on LPC method |
title_full |
Speech compression based on LPC method |
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Speech compression based on LPC method |
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Speech compression based on LPC method |
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speech compression based on lpc method |
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Universiti Malaysia Perlis |
publishDate |
2008 |
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http://dspace.unimap.edu.my/xmlui/handle/123456789/3288 |
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1643787814746193920 |
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13.211869 |