| Summary: | 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 .
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