A Study of Sound Mixing Recognition by Grey Theory

碩士 === 大葉大學 === 電機工程學系 === 95 === The speech sound means human using the organ of pronunciation which can produce the voice of speech sound message . However , the sound signal treated by computer technology is called the sound signal processing , another words is called language processing . Sound...

Full description

Bibliographic Details
Main Authors: Yun-Jhung Hu, 胡允中
Other Authors: Yi-Nung Chung
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/31817116003294278575
id ndltd-TW-095DYU00442003
record_format oai_dc
spelling ndltd-TW-095DYU004420032016-05-25T04:14:04Z http://ndltd.ncl.edu.tw/handle/31817116003294278575 A Study of Sound Mixing Recognition by Grey Theory 灰色理論運用於混音辨識之研究 Yun-Jhung Hu 胡允中 碩士 大葉大學 電機工程學系 95 The speech sound means human using the organ of pronunciation which can produce the voice of speech sound message . However , the sound signal treated by computer technology is called the sound signal processing , another words is called language processing . Sound processing can have more popularly conception . It can be connected with language itself , or can be disconnected . Some sound processing must be connected with sound ; for example sound recognition , sound compose and sound mixing . Sound signal processing is connected with a lot of science knowledge , it can be used in communication system , aviation technology , video entertainments , light effects , recording technology , military affairs , industry and life ect . These sciences depend on the technology of the sound signal processing can make our life more comfortable and convenient . This thesis is studied how to use the recognition formula of grey theory to find the features from identifying the sound mixing and using sound recognition formula to compare and make sure the correct of recognition using this method can get the following results : (a)It will be easier and more convenient in the technology of making sound mixing. (b)Can make different kinds of form and the sample of the composing mixing effect. (c)Use(Visual Basic)and(Gold Wave)digital speech sound recognition method can make sound recognition easier and simpler. (d)Using grey theory to recognition a lot of sound data. (e)Without complicated and expensive hardwares. (f)Using two kinds of recognition formulas to compare will make the experiment more accurate. (g)Testify the useful and accurate of grey theory. Using grey theory can recognize the phonic similar and correlation character . In sound mixing , we can use many kinds of sound effects to increase the recognition difficulties .(Gold Wave)digital sound formula can be cut many kinds of sound models and can be mixed to different effects and it will be many research area to sound recording and correction . Keywords : Sound recognition , Speech sound processing , Grey relation , Sound mixing . Yi-Nung Chung 鍾翼能 2007 學位論文 ; thesis 130 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 大葉大學 === 電機工程學系 === 95 === The speech sound means human using the organ of pronunciation which can produce the voice of speech sound message . However , the sound signal treated by computer technology is called the sound signal processing , another words is called language processing . Sound processing can have more popularly conception . It can be connected with language itself , or can be disconnected . Some sound processing must be connected with sound ; for example sound recognition , sound compose and sound mixing . Sound signal processing is connected with a lot of science knowledge , it can be used in communication system , aviation technology , video entertainments , light effects , recording technology , military affairs , industry and life ect . These sciences depend on the technology of the sound signal processing can make our life more comfortable and convenient . This thesis is studied how to use the recognition formula of grey theory to find the features from identifying the sound mixing and using sound recognition formula to compare and make sure the correct of recognition using this method can get the following results : (a)It will be easier and more convenient in the technology of making sound mixing. (b)Can make different kinds of form and the sample of the composing mixing effect. (c)Use(Visual Basic)and(Gold Wave)digital speech sound recognition method can make sound recognition easier and simpler. (d)Using grey theory to recognition a lot of sound data. (e)Without complicated and expensive hardwares. (f)Using two kinds of recognition formulas to compare will make the experiment more accurate. (g)Testify the useful and accurate of grey theory. Using grey theory can recognize the phonic similar and correlation character . In sound mixing , we can use many kinds of sound effects to increase the recognition difficulties .(Gold Wave)digital sound formula can be cut many kinds of sound models and can be mixed to different effects and it will be many research area to sound recording and correction . Keywords : Sound recognition , Speech sound processing , Grey relation , Sound mixing .
author2 Yi-Nung Chung
author_facet Yi-Nung Chung
Yun-Jhung Hu
胡允中
author Yun-Jhung Hu
胡允中
spellingShingle Yun-Jhung Hu
胡允中
A Study of Sound Mixing Recognition by Grey Theory
author_sort Yun-Jhung Hu
title A Study of Sound Mixing Recognition by Grey Theory
title_short A Study of Sound Mixing Recognition by Grey Theory
title_full A Study of Sound Mixing Recognition by Grey Theory
title_fullStr A Study of Sound Mixing Recognition by Grey Theory
title_full_unstemmed A Study of Sound Mixing Recognition by Grey Theory
title_sort study of sound mixing recognition by grey theory
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/31817116003294278575
work_keys_str_mv AT yunjhunghu astudyofsoundmixingrecognitionbygreytheory
AT húyǔnzhōng astudyofsoundmixingrecognitionbygreytheory
AT yunjhunghu huīsèlǐlùnyùnyòngyúhùnyīnbiànshízhīyánjiū
AT húyǔnzhōng huīsèlǐlùnyùnyòngyúhùnyīnbiànshízhīyánjiū
AT yunjhunghu studyofsoundmixingrecognitionbygreytheory
AT húyǔnzhōng studyofsoundmixingrecognitionbygreytheory
_version_ 1718279791230058496